Overview

Dataset statistics

Number of variables56
Number of observations165
Missing cells4768
Missing cells (%)51.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.9 KiB
Average record size in memory489.8 B

Variable types

Categorical16
Text8
Unsupported26
DateTime3
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17648/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
통로너비 is highly imbalanced (69.5%)Imbalance
조명시설조도 is highly imbalanced (69.5%)Imbalance
노래방실수 is highly imbalanced (69.5%)Imbalance
청소년실수 is highly imbalanced (69.5%)Imbalance
총게임기수 is highly imbalanced (69.5%)Imbalance
인허가취소일자 has 165 (100.0%) missing valuesMissing
폐업일자 has 118 (71.5%) missing valuesMissing
휴업시작일자 has 165 (100.0%) missing valuesMissing
휴업종료일자 has 165 (100.0%) missing valuesMissing
재개업일자 has 165 (100.0%) missing valuesMissing
전화번호 has 113 (68.5%) missing valuesMissing
소재지면적 has 165 (100.0%) missing valuesMissing
소재지우편번호 has 162 (98.2%) missing valuesMissing
도로명우편번호 has 28 (17.0%) missing valuesMissing
업태구분명 has 165 (100.0%) missing valuesMissing
문화사업자구분명 has 165 (100.0%) missing valuesMissing
주변환경명 has 165 (100.0%) missing valuesMissing
제작취급품목내용 has 165 (100.0%) missing valuesMissing
건물용도명 has 165 (100.0%) missing valuesMissing
비상계단여부 has 165 (100.0%) missing valuesMissing
비상구여부 has 165 (100.0%) missing valuesMissing
자동환기여부 has 165 (100.0%) missing valuesMissing
청소년실여부 has 165 (100.0%) missing valuesMissing
특수조명여부 has 165 (100.0%) missing valuesMissing
방음시설여부 has 165 (100.0%) missing valuesMissing
비디오재생기명 has 165 (100.0%) missing valuesMissing
조명시설유무 has 165 (100.0%) missing valuesMissing
음향시설여부 has 165 (100.0%) missing valuesMissing
편의시설여부 has 165 (100.0%) missing valuesMissing
소방시설여부 has 165 (100.0%) missing valuesMissing
기존게임업외업종명 has 165 (100.0%) missing valuesMissing
제공게임물명 has 165 (100.0%) missing valuesMissing
공연장형태구분명 has 165 (100.0%) missing valuesMissing
품목명 has 165 (100.0%) missing valuesMissing
최초등록시점 has 56 (33.9%) missing valuesMissing
지역구분명 has 165 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:37:42.396162
Analysis finished2024-05-11 05:37:43.543721
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3210000
165 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 165
100.0%

Length

2024-05-11T14:37:43.655631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:43.849830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 165
100.0%

관리번호
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:37:44.128453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3300
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032006000001
2nd rowCDFF5211032007000001
3rd rowCDFF5211032007000002
4th rowCDFF5211032007000004
5th rowCDFF5211032007000005
ValueCountFrequency (%)
cdff5211032006000001 1
 
0.6%
cdff5211032018000010 1
 
0.6%
cdff5211032020000004 1
 
0.6%
cdff5211032020000006 1
 
0.6%
cdff5211032020000007 1
 
0.6%
cdff5211032020000008 1
 
0.6%
cdff5211032020000009 1
 
0.6%
cdff5211032020000010 1
 
0.6%
cdff5211032020000011 1
 
0.6%
cdff5211032020000013 1
 
0.6%
Other values (155) 155
93.9%
2024-05-11T14:37:44.728969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1149
34.8%
1 513
15.5%
2 433
 
13.1%
F 330
 
10.0%
3 211
 
6.4%
5 188
 
5.7%
C 165
 
5.0%
D 165
 
5.0%
4 36
 
1.1%
8 31
 
0.9%
Other values (3) 79
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2640
80.0%
Uppercase Letter 660
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1149
43.5%
1 513
19.4%
2 433
 
16.4%
3 211
 
8.0%
5 188
 
7.1%
4 36
 
1.4%
8 31
 
1.2%
7 28
 
1.1%
9 26
 
1.0%
6 25
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 330
50.0%
C 165
25.0%
D 165
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
80.0%
Latin 660
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1149
43.5%
1 513
19.4%
2 433
 
16.4%
3 211
 
8.0%
5 188
 
7.1%
4 36
 
1.4%
8 31
 
1.2%
7 28
 
1.1%
9 26
 
1.0%
6 25
 
0.9%
Latin
ValueCountFrequency (%)
F 330
50.0%
C 165
25.0%
D 165
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1149
34.8%
1 513
15.5%
2 433
 
13.1%
F 330
 
10.0%
3 211
 
6.4%
5 188
 
5.7%
C 165
 
5.0%
D 165
 
5.0%
4 36
 
1.1%
8 31
 
0.9%
Other values (3) 79
 
2.4%

인허가일자
Text

Distinct159
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:37:45.270293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.4969697
Min length8

Characters and Unicode

Total characters1402
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)93.3%

Sample

1st row20061122
2nd row20070105
3rd row20070330
4th row20070521
5th row20070521
ValueCountFrequency (%)
20180723 3
 
1.8%
20130128 2
 
1.2%
2019-07-11 2
 
1.2%
20070521 2
 
1.2%
20211126 2
 
1.2%
2020-07-08 1
 
0.6%
2016-03-18 1
 
0.6%
20200810 1
 
0.6%
2020-03-04 1
 
0.6%
2020-03-10 1
 
0.6%
Other values (149) 149
90.3%
2024-05-11T14:37:46.051817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 409
29.2%
2 329
23.5%
1 257
18.3%
- 82
 
5.8%
3 64
 
4.6%
7 47
 
3.4%
9 47
 
3.4%
4 46
 
3.3%
8 45
 
3.2%
5 39
 
2.8%
Other values (2) 37
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1319
94.1%
Dash Punctuation 82
 
5.8%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 409
31.0%
2 329
24.9%
1 257
19.5%
3 64
 
4.9%
7 47
 
3.6%
9 47
 
3.6%
4 46
 
3.5%
8 45
 
3.4%
5 39
 
3.0%
6 36
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 409
29.2%
2 329
23.5%
1 257
18.3%
- 82
 
5.8%
3 64
 
4.6%
7 47
 
3.4%
9 47
 
3.4%
4 46
 
3.3%
8 45
 
3.2%
5 39
 
2.8%
Other values (2) 37
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 409
29.2%
2 329
23.5%
1 257
18.3%
- 82
 
5.8%
3 64
 
4.6%
7 47
 
3.4%
9 47
 
3.4%
4 46
 
3.3%
8 45
 
3.2%
5 39
 
2.8%
Other values (2) 37
 
2.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
116 
3
34 
5
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 116
70.3%
3 34
 
20.6%
5 15
 
9.1%

Length

2024-05-11T14:37:46.450587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:46.648071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 116
70.3%
3 34
 
20.6%
5 15
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
116 
폐업
34 
제외/삭제/전출
15 

Length

Max length8
Median length5
Mean length4.6545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 116
70.3%
폐업 34
 
20.6%
제외/삭제/전출 15
 
9.1%

Length

2024-05-11T14:37:46.855371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:47.076908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 116
70.3%
폐업 34
 
20.6%
제외/삭제/전출 15
 
9.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
116 
3
34 
15
15 

Length

Max length2
Median length2
Mean length1.7939394
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 116
70.3%
3 34
 
20.6%
15 15
 
9.1%

Length

2024-05-11T14:37:47.302029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:47.492723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 116
70.3%
3 34
 
20.6%
15 15
 
9.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
116 
폐업
34 
전출
15 

Length

Max length3
Median length3
Mean length2.7030303
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 116
70.3%
폐업 34
 
20.6%
전출 15
 
9.1%

Length

2024-05-11T14:37:47.706059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:47.881355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 116
70.3%
폐업 34
 
20.6%
전출 15
 
9.1%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)95.7%
Missing118
Missing (%)71.5%
Memory size1.4 KiB
Minimum2010-02-18 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T14:37:48.088449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:48.287263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct50
Distinct (%)96.2%
Missing113
Missing (%)68.5%
Memory size1.4 KiB
2024-05-11T14:37:48.647866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.115385
Min length8

Characters and Unicode

Total characters578
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

Unique48 ?
Unique (%)92.3%

Sample

1st row591-0093
2nd row02-532-8357
3rd row02-586-2822
4th row02-2256-0552
5th row2106-7570
ValueCountFrequency (%)
533-8552 2
 
3.8%
025842430 2
 
3.8%
02-591-3719 1
 
1.9%
02-542-5504 1
 
1.9%
02-598-9009 1
 
1.9%
02-782-5433 1
 
1.9%
02-553-5881 1
 
1.9%
02-6405-5053 1
 
1.9%
02-522-1837 1
 
1.9%
02-584-2430 1
 
1.9%
Other values (40) 40
76.9%
2024-05-11T14:37:49.274539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 91
15.7%
0 86
14.9%
2 80
13.8%
5 68
11.8%
3 42
7.3%
8 40
6.9%
4 39
6.7%
7 39
6.7%
9 35
 
6.1%
1 32
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 487
84.3%
Dash Punctuation 91
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
17.7%
2 80
16.4%
5 68
14.0%
3 42
8.6%
8 40
8.2%
4 39
8.0%
7 39
8.0%
9 35
7.2%
1 32
 
6.6%
6 26
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 91
15.7%
0 86
14.9%
2 80
13.8%
5 68
11.8%
3 42
7.3%
8 40
6.9%
4 39
6.7%
7 39
6.7%
9 35
 
6.1%
1 32
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 91
15.7%
0 86
14.9%
2 80
13.8%
5 68
11.8%
3 42
7.3%
8 40
6.9%
4 39
6.7%
7 39
6.7%
9 35
 
6.1%
1 32
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing162
Missing (%)98.2%
Memory size1.4 KiB
2024-05-11T14:37:49.519614image/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 row137030
2nd row137-828
3rd row137862
ValueCountFrequency (%)
137030 1
33.3%
137-828 1
33.3%
137862 1
33.3%
2024-05-11T14:37:49.930889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
21.1%
1 3
15.8%
7 3
15.8%
8 3
15.8%
0 2
10.5%
2 2
10.5%
- 1
 
5.3%
6 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 (%)
3 4
22.2%
1 3
16.7%
7 3
16.7%
8 3
16.7%
0 2
11.1%
2 2
11.1%
6 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
100.0%

Most frequent character per block

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

지번주소
Text

Distinct123
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:37:50.366486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length24.254545
Min length13

Characters and Unicode

Total characters4002
Distinct characters172
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)61.2%

Sample

1st row서울특별시 서초구 잠원동 **-*번지 푸른빌딩
2nd row서울특별시 서초구 서초동 ****번지 대승빌딩 *층
3rd row서울특별시 서초구 서초동 ****-*번지 ***
4th row서울특별시 서초구 서초동 ****-*번지
5th row서울특별시 서초구 서초동 ****번지 반도빌딩 *층
ValueCountFrequency (%)
서울특별시 165
21.5%
서초구 165
21.5%
74
9.7%
번지 68
8.9%
서초동 59
 
7.7%
잠원동 42
 
5.5%
양재동 23
 
3.0%
반포동 21
 
2.7%
방배동 19
 
2.5%
호 15
 
2.0%
Other values (91) 115
15.0%
2024-05-11T14:37:51.122717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
707
17.7%
* 683
17.1%
서 396
9.9%
초 231
 
5.8%
시 169
 
4.2%
동 168
 
4.2%
특 165
 
4.1%
별 165
 
4.1%
구 165
 
4.1%
울 165
 
4.1%
Other values (162) 988
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2445
61.1%
Space Separator 707
 
17.7%
Other Punctuation 683
 
17.1%
Dash Punctuation 133
 
3.3%
Uppercase Letter 25
 
0.6%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 396
16.2%
초 231
 
9.4%
시 169
 
6.9%
동 168
 
6.9%
특 165
 
6.7%
별 165
 
6.7%
구 165
 
6.7%
울 165
 
6.7%
지 73
 
3.0%
번 68
 
2.8%
Other values (144) 680
27.8%
Uppercase Letter
ValueCountFrequency (%)
G 5
20.0%
B 4
16.0%
M 3
12.0%
C 3
12.0%
N 2
 
8.0%
K 2
 
8.0%
L 2
 
8.0%
I 2
 
8.0%
A 1
 
4.0%
J 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
8 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
707
100.0%
Other Punctuation
ValueCountFrequency (%)
* 683
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2442
61.0%
Common 1532
38.3%
Latin 25
 
0.6%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 396
16.2%
초 231
 
9.5%
시 169
 
6.9%
동 168
 
6.9%
특 165
 
6.8%
별 165
 
6.8%
구 165
 
6.8%
울 165
 
6.8%
지 73
 
3.0%
번 68
 
2.8%
Other values (141) 677
27.7%
Latin
ValueCountFrequency (%)
G 5
20.0%
B 4
16.0%
M 3
12.0%
C 3
12.0%
N 2
 
8.0%
K 2
 
8.0%
L 2
 
8.0%
I 2
 
8.0%
A 1
 
4.0%
J 1
 
4.0%
Common
ValueCountFrequency (%)
707
46.1%
* 683
44.6%
- 133
 
8.7%
( 3
 
0.2%
) 3
 
0.2%
6 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%
Han
ValueCountFrequency (%)
齎 1
33.3%
然 1
33.3%
哄 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2442
61.0%
ASCII 1557
38.9%
CJK 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
707
45.4%
* 683
43.9%
- 133
 
8.5%
G 5
 
0.3%
B 4
 
0.3%
( 3
 
0.2%
) 3
 
0.2%
M 3
 
0.2%
C 3
 
0.2%
N 2
 
0.1%
Other values (8) 11
 
0.7%
Hangul
ValueCountFrequency (%)
서 396
16.2%
초 231
 
9.5%
시 169
 
6.9%
동 168
 
6.9%
특 165
 
6.8%
별 165
 
6.8%
구 165
 
6.8%
울 165
 
6.8%
지 73
 
3.0%
번 68
 
2.8%
Other values (141) 677
27.7%
CJK
ValueCountFrequency (%)
齎 1
33.3%
然 1
33.3%
哄 1
33.3%

도로명주소
Text

Distinct150
Distinct (%)91.5%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-05-11T14:37:51.507693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43.5
Mean length35.981707
Min length23

Characters and Unicode

Total characters5901
Distinct characters206
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)84.1%

Sample

1st row서울특별시 서초구 강남대로 *** (잠원동,푸른빌딩)
2nd row서울특별시 서초구 강남대로**길 * (서초동,대승빌딩 *층)
3rd row서울특별시 서초구 서초대로**길 ** (서초동,***)
4th row서울특별시 서초구 서초대로**길 ** (서초동)
5th row서울특별시 서초구 남부순환로***길 ** (서초동,반도빌딩 *층)
ValueCountFrequency (%)
서울특별시 164
14.9%
서초구 164
14.9%
163
14.8%
호 75
 
6.8%
층 74
 
6.7%
서초동 49
 
4.4%
잠원동 37
 
3.4%
양재동 22
 
2.0%
강남대로**길 19
 
1.7%
방배동 17
 
1.5%
Other values (184) 320
29.0%
2024-05-11T14:37:52.103123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 999
16.9%
963
16.3%
서 420
 
7.1%
초 251
 
4.3%
, 196
 
3.3%
동 186
 
3.2%
시 169
 
2.9%
) 167
 
2.8%
( 167
 
2.8%
구 165
 
2.8%
Other values (196) 2218
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3346
56.7%
Other Punctuation 1195
 
20.3%
Space Separator 963
 
16.3%
Close Punctuation 167
 
2.8%
Open Punctuation 167
 
2.8%
Dash Punctuation 30
 
0.5%
Uppercase Letter 27
 
0.5%
Decimal Number 4
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 420
 
12.6%
초 251
 
7.5%
동 186
 
5.6%
시 169
 
5.1%
구 165
 
4.9%
울 164
 
4.9%
특 164
 
4.9%
별 164
 
4.9%
로 160
 
4.8%
길 119
 
3.6%
Other values (175) 1384
41.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
22.2%
G 5
18.5%
M 3
11.1%
C 3
11.1%
N 2
 
7.4%
K 2
 
7.4%
L 2
 
7.4%
I 2
 
7.4%
J 1
 
3.7%
A 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
7 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 999
83.6%
, 196
 
16.4%
Space Separator
ValueCountFrequency (%)
963
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3343
56.7%
Common 2527
42.8%
Latin 28
 
0.5%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 420
 
12.6%
초 251
 
7.5%
동 186
 
5.6%
시 169
 
5.1%
구 165
 
4.9%
울 164
 
4.9%
특 164
 
4.9%
별 164
 
4.9%
로 160
 
4.8%
길 119
 
3.6%
Other values (172) 1381
41.3%
Latin
ValueCountFrequency (%)
B 6
21.4%
G 5
17.9%
M 3
10.7%
C 3
10.7%
N 2
 
7.1%
K 2
 
7.1%
L 2
 
7.1%
I 2
 
7.1%
J 1
 
3.6%
A 1
 
3.6%
Common
ValueCountFrequency (%)
* 999
39.5%
963
38.1%
, 196
 
7.8%
) 167
 
6.6%
( 167
 
6.6%
- 30
 
1.2%
2 2
 
0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
~ 1
 
< 0.1%
Han
ValueCountFrequency (%)
齎 1
33.3%
然 1
33.3%
哄 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3343
56.7%
ASCII 2555
43.3%
CJK 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 999
39.1%
963
37.7%
, 196
 
7.7%
) 167
 
6.5%
( 167
 
6.5%
- 30
 
1.2%
B 6
 
0.2%
G 5
 
0.2%
M 3
 
0.1%
C 3
 
0.1%
Other values (11) 16
 
0.6%
Hangul
ValueCountFrequency (%)
서 420
 
12.6%
초 251
 
7.5%
동 186
 
5.6%
시 169
 
5.1%
구 165
 
4.9%
울 164
 
4.9%
특 164
 
4.9%
별 164
 
4.9%
로 160
 
4.8%
길 119
 
3.6%
Other values (172) 1381
41.3%
CJK
ValueCountFrequency (%)
齎 1
33.3%
然 1
33.3%
哄 1
33.3%

도로명우편번호
Text

MISSING 

Distinct82
Distinct (%)59.9%
Missing28
Missing (%)17.0%
Memory size1.4 KiB
2024-05-11T14:37:52.507268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2116788
Min length5

Characters and Unicode

Total characters714
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

Unique54 ?
Unique (%)39.4%

Sample

1st row137815
2nd row137872
3rd row06640
4th row137041
5th row137891
ValueCountFrequency (%)
06524 7
 
5.1%
06527 7
 
5.1%
06627 5
 
3.6%
06531 4
 
2.9%
06775 4
 
2.9%
06651 4
 
2.9%
06619 3
 
2.2%
06601 3
 
2.2%
06530 3
 
2.2%
137030 3
 
2.2%
Other values (72) 94
68.6%
2024-05-11T14:37:53.191218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 166
23.2%
0 145
20.3%
7 90
12.6%
5 70
9.8%
1 65
 
9.1%
3 60
 
8.4%
2 47
 
6.6%
4 25
 
3.5%
9 22
 
3.1%
8 22
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 712
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 166
23.3%
0 145
20.4%
7 90
12.6%
5 70
9.8%
1 65
 
9.1%
3 60
 
8.4%
2 47
 
6.6%
4 25
 
3.5%
9 22
 
3.1%
8 22
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 166
23.2%
0 145
20.3%
7 90
12.6%
5 70
9.8%
1 65
 
9.1%
3 60
 
8.4%
2 47
 
6.6%
4 25
 
3.5%
9 22
 
3.1%
8 22
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 166
23.2%
0 145
20.3%
7 90
12.6%
5 70
9.8%
1 65
 
9.1%
3 60
 
8.4%
2 47
 
6.6%
4 25
 
3.5%
9 22
 
3.1%
8 22
 
3.1%

사업장명
Text

Distinct162
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T14:37:53.622029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length15
Mean length9.2545455
Min length2

Characters and Unicode

Total characters1527
Distinct characters269
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

Unique159 ?
Unique (%)96.4%

Sample

1st row㈜케이앤엔터테인먼트
2nd row디에스앤파트너㈜
3rd row위드시네마
4th row㈜성원아이컴
5th row㈜크리스천투데이
ValueCountFrequency (%)
주식회사 35
 
15.5%
주 13
 
5.8%
영화특별시에스엠씨 2
 
0.9%
주)마노엔터테인먼트 2
 
0.9%
브라더미디어 2
 
0.9%
유한회사 2
 
0.9%
주)루피앤컴퍼니 1
 
0.4%
씨엠닉스 1
 
0.4%
앨리캣 1
 
0.4%
아이아스플러스 1
 
0.4%
Other values (166) 166
73.5%
2024-05-11T14:37:54.249712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 124
 
8.1%
( 92
 
6.0%
) 92
 
6.0%
61
 
4.0%
스 59
 
3.9%
사 48
 
3.1%
이 48
 
3.1%
트 39
 
2.6%
회 38
 
2.5%
식 36
 
2.4%
Other values (259) 890
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1225
80.2%
Open Punctuation 92
 
6.0%
Close Punctuation 92
 
6.0%
Space Separator 61
 
4.0%
Uppercase Letter 19
 
1.2%
Lowercase Letter 18
 
1.2%
Other Symbol 14
 
0.9%
Other Punctuation 5
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 124
 
10.1%
스 59
 
4.8%
사 48
 
3.9%
이 48
 
3.9%
트 39
 
3.2%
회 38
 
3.1%
식 36
 
2.9%
엔 28
 
2.3%
인 27
 
2.2%
터 26
 
2.1%
Other values (226) 752
61.4%
Uppercase Letter
ValueCountFrequency (%)
L 2
10.5%
C 2
10.5%
Y 2
10.5%
S 2
10.5%
A 2
10.5%
B 1
 
5.3%
E 1
 
5.3%
O 1
 
5.3%
R 1
 
5.3%
N 1
 
5.3%
Other values (4) 4
21.1%
Lowercase Letter
ValueCountFrequency (%)
s 3
16.7%
e 2
11.1%
d 2
11.1%
o 2
11.1%
l 2
11.1%
r 2
11.1%
t 1
 
5.6%
b 1
 
5.6%
a 1
 
5.6%
m 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
, 2
40.0%
& 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1239
81.1%
Common 251
 
16.4%
Latin 37
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 124
 
10.0%
스 59
 
4.8%
사 48
 
3.9%
이 48
 
3.9%
트 39
 
3.1%
회 38
 
3.1%
식 36
 
2.9%
엔 28
 
2.3%
인 27
 
2.2%
터 26
 
2.1%
Other values (227) 766
61.8%
Latin
ValueCountFrequency (%)
s 3
 
8.1%
L 2
 
5.4%
e 2
 
5.4%
C 2
 
5.4%
d 2
 
5.4%
o 2
 
5.4%
l 2
 
5.4%
r 2
 
5.4%
Y 2
 
5.4%
S 2
 
5.4%
Other values (15) 16
43.2%
Common
ValueCountFrequency (%)
( 92
36.7%
) 92
36.7%
61
24.3%
. 2
 
0.8%
, 2
 
0.8%
& 1
 
0.4%
8 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1225
80.2%
ASCII 288
 
18.9%
None 14
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 124
 
10.1%
스 59
 
4.8%
사 48
 
3.9%
이 48
 
3.9%
트 39
 
3.2%
회 38
 
3.1%
식 36
 
2.9%
엔 28
 
2.3%
인 27
 
2.2%
터 26
 
2.1%
Other values (226) 752
61.4%
ASCII
ValueCountFrequency (%)
( 92
31.9%
) 92
31.9%
61
21.2%
s 3
 
1.0%
. 2
 
0.7%
L 2
 
0.7%
, 2
 
0.7%
e 2
 
0.7%
C 2
 
0.7%
d 2
 
0.7%
Other values (22) 28
 
9.7%
None
ValueCountFrequency (%)
㈜ 14
100.0%

최종수정일자
Date

Distinct155
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2010-04-28 15:47:25
Maximum2024-04-18 11:59:59
2024-05-11T14:37:54.504803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:54.800542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
108 
U
57 

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 108
65.5%
U 57
34.5%

Length

2024-05-11T14:37:55.057676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:55.240143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 108
65.5%
u 57
34.5%

데이터갱신일자
Date

Distinct92
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:00:00
2024-05-11T14:37:55.428236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:55.753057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct136
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201484.02
Minimum198363.71
Maximum204181.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:37:56.494836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198363.71
5-th percentile198880.99
Q1201000.04
median201531.2
Q3202422.66
95-th percentile203811.97
Maximum204181.41
Range5817.7093
Interquartile range (IQR)1422.6235

Descriptive statistics

Standard deviation1364.8492
Coefficient of variation (CV)0.0067739825
Kurtosis-0.1207783
Mean201484.02
Median Absolute Deviation (MAD)662.72574
Skewness-0.2954645
Sum33244863
Variance1862813.3
MonotonicityNot monotonic
2024-05-11T14:37:56.807532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202501.602561199 4
 
2.4%
201664.358564847 3
 
1.8%
202638.948768564 3
 
1.8%
202152.435828986 3
 
1.8%
201652.33335549 3
 
1.8%
201386.338220173 3
 
1.8%
201314.245103965 2
 
1.2%
202511.405143886 2
 
1.2%
202193.920856835 2
 
1.2%
199649.426797304 2
 
1.2%
Other values (126) 138
83.6%
ValueCountFrequency (%)
198363.705516537 1
0.6%
198443.027160659 1
0.6%
198462.41625588 1
0.6%
198527.865526023 1
0.6%
198534.748228783 1
0.6%
198571.021913914 1
0.6%
198592.572389794 1
0.6%
198702.564835484 1
0.6%
198836.324746887 1
0.6%
199059.644180682 1
0.6%
ValueCountFrequency (%)
204181.414843033 1
0.6%
204169.215212055 1
0.6%
204158.349624217 1
0.6%
203909.115 1
0.6%
203894.663588295 1
0.6%
203865.709970943 1
0.6%
203848.094015013 2
1.2%
203815.668827003 1
0.6%
203797.168574676 1
0.6%
203752.221729961 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct136
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443677.11
Minimum440693.31
Maximum446206.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:37:57.087529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440693.31
5-th percentile441299.2
Q1442563.27
median443606.13
Q3445430.03
95-th percentile446064.43
Maximum446206.35
Range5513.0433
Interquartile range (IQR)2866.7657

Descriptive statistics

Standard deviation1553.7556
Coefficient of variation (CV)0.0035019962
Kurtosis-1.0773108
Mean443677.11
Median Absolute Deviation (MAD)1165.9947
Skewness0.098817641
Sum73206722
Variance2414156.3
MonotonicityNot monotonic
2024-05-11T14:37:57.327530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443226.434038556 4
 
2.4%
445710.120020179 3
 
1.8%
443109.509930091 3
 
1.8%
443826.911881224 3
 
1.8%
445507.845811866 3
 
1.8%
443689.075119969 3
 
1.8%
442859.39847353 2
 
1.2%
442532.881759045 2
 
1.2%
443717.690282156 2
 
1.2%
444331.091607552 2
 
1.2%
Other values (126) 138
83.6%
ValueCountFrequency (%)
440693.311634096 1
0.6%
440753.993971457 1
0.6%
440963.759050916 1
0.6%
441003.273048419 1
0.6%
441098.456451645 1
0.6%
441176.828320298 1
0.6%
441242.791786723 1
0.6%
441279.086681372 1
0.6%
441292.453930502 1
0.6%
441326.193173286 1
0.6%
ValueCountFrequency (%)
446206.354902748 2
1.2%
446183.502793135 1
0.6%
446150.216745339 2
1.2%
446130.47997888 1
0.6%
446068.560179388 1
0.6%
446065.753966473 2
1.2%
446059.150617924 1
0.6%
446056.643706707 2
1.2%
446051.521120623 1
0.6%
446046.503277966 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영화배급업
109 
<NA>
56 

Length

Max length5
Median length5
Mean length4.6606061
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 109
66.1%
<NA> 56
33.9%

Length

2024-05-11T14:37:57.567500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:57.845459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 109
66.1%
na 56
33.9%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

총층수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
144 
0
21 

Length

Max length4
Median length4
Mean length3.6181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
87.3%
0 21
 
12.7%

Length

2024-05-11T14:37:58.049555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.238699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
87.3%
0 21
 
12.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

시설면적
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
144 
0
21 

Length

Max length4
Median length4
Mean length3.6181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
87.3%
0 21
 
12.7%

Length

2024-05-11T14:37:58.422977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.616981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
87.3%
0 21
 
12.7%

지상층수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
144 
0
21 

Length

Max length4
Median length4
Mean length3.6181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
87.3%
0 21
 
12.7%

Length

2024-05-11T14:37:58.803534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.983926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
87.3%
0 21
 
12.7%

지하층수
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
144 
0
21 

Length

Max length4
Median length4
Mean length3.6181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
87.3%
0 21
 
12.7%

Length

2024-05-11T14:37:59.151699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:59.331073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
87.3%
0 21
 
12.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
0
 
9

Length

Max length4
Median length4
Mean length3.8363636
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> 156
94.5%
0 9
 
5.5%

Length

2024-05-11T14:37:59.587487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:59.768474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
94.5%
0 9
 
5.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
0
 
9

Length

Max length4
Median length4
Mean length3.8363636
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> 156
94.5%
0 9
 
5.5%

Length

2024-05-11T14:37:59.963636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:00.166237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
94.5%
0 9
 
5.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
0
 
9

Length

Max length4
Median length4
Mean length3.8363636
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> 156
94.5%
0 9
 
5.5%

Length

2024-05-11T14:38:00.321459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:00.467431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
94.5%
0 9
 
5.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
0
 
9

Length

Max length4
Median length4
Mean length3.8363636
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> 156
94.5%
0 9
 
5.5%

Length

2024-05-11T14:38:00.651372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:00.806695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
94.5%
0 9
 
5.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
0
 
9

Length

Max length4
Median length4
Mean length3.8363636
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> 156
94.5%
0 9
 
5.5%

Length

2024-05-11T14:38:00.945781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:01.103047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
94.5%
0 9
 
5.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)95.4%
Missing56
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean19975447
Minimum2009012
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T14:38:01.301479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009012
5-th percentile20070521
Q120110118
median20140219
Q320180723
95-th percentile20210543
Maximum20211207
Range18202195
Interquartile range (IQR)70605

Descriptive statistics

Standard deviation1737367.3
Coefficient of variation (CV)0.086975141
Kurtosis108.85535
Mean19975447
Median Absolute Deviation (MAD)39517
Skewness-10.430011
Sum2.1773237 × 109
Variance3.018445 × 1012
MonotonicityNot monotonic
2024-05-11T14:38:01.586250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180723 3
 
1.8%
20070521 2
 
1.2%
20211126 2
 
1.2%
20130128 2
 
1.2%
20171218 1
 
0.6%
20181217 1
 
0.6%
20181108 1
 
0.6%
20170223 1
 
0.6%
20181004 1
 
0.6%
20180903 1
 
0.6%
Other values (94) 94
57.0%
(Missing) 56
33.9%
ValueCountFrequency (%)
2009012 1
0.6%
20011122 1
0.6%
20061122 1
0.6%
20070105 1
0.6%
20070330 1
0.6%
20070521 2
1.2%
20070726 1
0.6%
20080110 1
0.6%
20080122 1
0.6%
20081118 1
0.6%
ValueCountFrequency (%)
20211207 1
0.6%
20211126 2
1.2%
20210804 1
0.6%
20210625 1
0.6%
20210618 1
0.6%
20210430 1
0.6%
20210409 1
0.6%
20210122 1
0.6%
20210106 1
0.6%
20200810 1
0.6%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF521103200600000120061122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-*번지 푸른빌딩서울특별시 서초구 강남대로 *** (잠원동,푸른빌딩)<NA>㈜케이앤엔터테인먼트2010-04-28 15:47:25I2018-08-31 23:59:59.0<NA>201664.358565445710.12002영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061122<NA>
13210000CDFF521103200700000120070105<NA>3폐업3폐업20150306<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****번지 대승빌딩 *층서울특별시 서초구 강남대로**길 * (서초동,대승빌딩 *층)<NA>디에스앤파트너㈜2015-03-06 15:47:33I2018-08-31 23:59:59.0<NA>202273.12909444106.32473영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070105<NA>
23210000CDFF521103200700000220070330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지 ***서울특별시 서초구 서초대로**길 ** (서초동,***)<NA>위드시네마2010-04-28 15:47:25I2018-08-31 23:59:59.0<NA>202123.769148444374.640777영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070330<NA>
33210000CDFF521103200700000420070521<NA>3폐업3폐업20100409<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지서울특별시 서초구 서초대로**길 ** (서초동)<NA>㈜성원아이컴2010-05-31 14:57:40I2018-08-31 23:59:59.0<NA>200736.126321443526.420076영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070521<NA>
43210000CDFF521103200700000520070521<NA>3폐업3폐업20100628<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****번지 반도빌딩 *층서울특별시 서초구 남부순환로***길 ** (서초동,반도빌딩 *층)<NA>㈜크리스천투데이2010-06-29 09:59:31I2018-08-31 23:59:59.0<NA>202734.682314442607.232057영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070521<NA>
53210000CDFF521103200700000620070726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-**번지 단우빌딩 *층서울특별시 서초구 서초중앙로**길 ** (서초동,단우빌딩 *층)<NA>㈜단우미디어네트웍스2010-04-28 15:47:25I2018-08-31 23:59:59.0<NA>201267.182016443637.954107영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070726<NA>
63210000CDFF521103200800000120080110<NA>1영업/정상13영업중<NA><NA><NA><NA>591-0093<NA><NA>서울특별시 서초구 반포동 ***-***번지서울특별시 서초구 사평대로*길 *-* (반포동)<NA>(주)영화사솔2011-08-10 19:54:05I2018-08-31 23:59:59.0<NA>199142.569314443942.104809영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080110<NA>
73210000CDFF521103200800000720081118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지 재우빌딩 M*서울특별시 서초구 반포대로**길 ** (서초동,재우빌딩 M*)<NA>㈜도도파크2010-04-28 15:47:25I2018-08-31 23:59:59.0<NA>200973.094834442735.614145영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081118<NA>
83210000CDFF52110320090000012009012<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-**번지 *층서울특별시 서초구 서초대로**길 ** (방배동,*층)<NA>㈜시계풀엔터2010-04-28 15:47:25I2018-08-31 23:59:59.0<NA>199573.602542443196.6247영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2009012<NA>
93210000CDFF521103200900000220090209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***번지 영신빌딩서울특별시 서초구 언남**길 **-* (양재동,영신빌딩)<NA>㈜아리엘커뮤니케이션2010-04-28 15:47:25I2018-08-31 23:59:59.0<NA>203752.22173441482.284048영화배급업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090209<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1553210000CDFF52110320230000082023-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-542-5504<NA><NA>서울특별시 서초구 반포동 ***-*서울특별시 서초구 강남대로 ***, *,*,*층 (반포동)06541주식회사 오엔터테인먼트2023-07-26 10:26:53I2022-12-06 22:08:00.0<NA>201979.143209444881.557832<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1563210000CDFF52110320230000092023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-*서울특별시 서초구 강남대로**길 **-*, *층 (양재동)06778한스타2023-08-18 17:44:19I2022-12-07 22:00:00.0<NA>203433.991691441098.456452<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1573210000CDFF52110320230000102018-05-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-** 백산빌딩서울특별시 서초구 효령로 **, 백산빌딩 *동 *층 *호 (방배동)06697주식회사 뮤직엔닷컴2023-12-08 10:34:27I2022-11-01 23:00:00.0<NA>199144.631349441877.111716<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583210000CDFF52110320230000112019-07-11<NA>3폐업3폐업2023-12-21<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** BNK디지털타워서울특별시 서초구 서초대로 ***, BNK디지털타워 *층 ***호 (서초동)06619(주) 영화특별시에스엠씨2023-12-21 16:24:27I2022-11-01 22:03:00.0<NA>202152.435829443826.911881<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593210000CDFF52110320240000012024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-* 제이포 빌딩서울특별시 서초구 강남대로**길 **, 제이포 빌딩 *~*층 (잠원동)06527주식회사 제이포엔터테인먼트2024-01-25 09:28:53I2023-11-30 22:07:00.0<NA>201459.531459445819.625887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603210000CDFF52110320240000022024-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-** ICM빌딩서울특별시 서초구 신반포로**길 **, ICM빌딩 *층 (잠원동)06529주식회사 다시봄2024-01-31 09:44:47I2023-12-02 00:02:00.0<NA>201457.999635445573.640431<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613210000CDFF52110320240000032024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 강남대로**길 **-*, *층 (서초동)06734주식회사 제이콥홀딩스2024-02-21 14:12:58I2023-12-01 22:04:00.0<NA>202608.279007442531.620416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1623210000CDFF52110320240000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 **-** 청천빌라서울특별시 서초구 동광로**길 **, ***호 (반포동, 청천빌라)06580런앤건2024-02-23 15:50:29I2023-12-01 22:05:00.0<NA>199961.577773443656.244933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633210000CDFF52110320240000052024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-* 영빌딩서울특별시 서초구 강남대로**길 **, 영빌딩 *층 (잠원동)06526스타플래티넘 유한회사2024-02-27 13:27:12I2023-12-01 22:09:00.0<NA>201512.086401445829.420787<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643210000CDFF52110320240000062024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8623-0092<NA><NA>서울특별시 서초구 양재동 ***-* 트윈타워 에이동 ****호서울특별시 서초구 마방로**길 **, 트윈타워 에이동 **층 ****호 (양재동)06775주식회사 별빛소년2024-03-25 19:01:26I2023-12-02 22:07:00.0<NA>203848.094015441601.513809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>