Overview

Dataset statistics

Number of variables56
Number of observations1614
Missing cells42034
Missing cells (%)46.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory772.5 KiB
Average record size in memory490.1 B

Variable types

Categorical19
Text8
Unsupported23
Numeric4
DateTime2

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17749/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.3%)Imbalance
영업상태코드 is highly imbalanced (64.8%)Imbalance
영업상태명 is highly imbalanced (64.8%)Imbalance
상세영업상태코드 is highly imbalanced (64.8%)Imbalance
상세영업상태명 is highly imbalanced (64.8%)Imbalance
휴업시작일자 is highly imbalanced (99.3%)Imbalance
휴업종료일자 is highly imbalanced (99.3%)Imbalance
데이터갱신구분 is highly imbalanced (51.7%)Imbalance
통로너비 is highly imbalanced (82.9%)Imbalance
조명시설조도 is highly imbalanced (82.9%)Imbalance
노래방실수 is highly imbalanced (82.9%)Imbalance
청소년실수 is highly imbalanced (82.9%)Imbalance
총게임기수 is highly imbalanced (82.9%)Imbalance
폐업일자 has 1330 (82.4%) missing valuesMissing
재개업일자 has 1614 (100.0%) missing valuesMissing
전화번호 has 1104 (68.4%) missing valuesMissing
소재지면적 has 1614 (100.0%) missing valuesMissing
소재지우편번호 has 1581 (98.0%) missing valuesMissing
도로명우편번호 has 462 (28.6%) missing valuesMissing
업태구분명 has 1614 (100.0%) missing valuesMissing
문화사업자구분명 has 1614 (100.0%) missing valuesMissing
주변환경명 has 1614 (100.0%) missing valuesMissing
제작취급품목내용 has 1614 (100.0%) missing valuesMissing
건물용도명 has 1614 (100.0%) missing valuesMissing
비상계단여부 has 1614 (100.0%) missing valuesMissing
비상구여부 has 1614 (100.0%) missing valuesMissing
자동환기여부 has 1614 (100.0%) missing valuesMissing
청소년실여부 has 1614 (100.0%) missing valuesMissing
특수조명여부 has 1614 (100.0%) missing valuesMissing
방음시설여부 has 1614 (100.0%) missing valuesMissing
비디오재생기명 has 1614 (100.0%) missing valuesMissing
조명시설유무 has 1614 (100.0%) missing valuesMissing
음향시설여부 has 1614 (100.0%) missing valuesMissing
편의시설여부 has 1614 (100.0%) missing valuesMissing
소방시설여부 has 1614 (100.0%) missing valuesMissing
기존게임업외업종명 has 1614 (100.0%) missing valuesMissing
제공게임물명 has 1614 (100.0%) missing valuesMissing
공연장형태구분명 has 1614 (100.0%) missing valuesMissing
품목명 has 1614 (100.0%) missing valuesMissing
최초등록시점 has 407 (25.2%) missing valuesMissing
지역구분명 has 1614 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 05:51:32.409418
Analysis finished2024-05-11 05:51:34.142704
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
3220000
1614 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 1614
100.0%

Length

2024-05-11T14:51:34.240903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:34.429710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 1614
100.0%

관리번호
Text

UNIQUE 

Distinct1614
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-05-11T14:51:34.688336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters32280
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

Unique1614 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011985000001
2nd rowCDFF5211011992000001
3rd rowCDFF5211012000000001
4th rowCDFF5211012001000001
5th rowCDFF5211012002000001
ValueCountFrequency (%)
cdff5211011985000001 1
 
0.1%
cdff5211012018000036 1
 
0.1%
cdff5211012018000005 1
 
0.1%
cdff5211012018000004 1
 
0.1%
cdff5211012018000003 1
 
0.1%
cdff5211012018000002 1
 
0.1%
cdff5211012018000001 1
 
0.1%
cdff5211012017000120 1
 
0.1%
cdff5211012017000119 1
 
0.1%
cdff5211012017000117 1
 
0.1%
Other values (1604) 1604
99.4%
2024-05-11T14:51:35.174902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10429
32.3%
1 6414
19.9%
2 4224
13.1%
F 3228
 
10.0%
5 2005
 
6.2%
C 1614
 
5.0%
D 1614
 
5.0%
3 519
 
1.6%
7 503
 
1.6%
8 471
 
1.5%
Other values (3) 1259
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25824
80.0%
Uppercase Letter 6456
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10429
40.4%
1 6414
24.8%
2 4224
16.4%
5 2005
 
7.8%
3 519
 
2.0%
7 503
 
1.9%
8 471
 
1.8%
9 444
 
1.7%
4 417
 
1.6%
6 398
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
F 3228
50.0%
C 1614
25.0%
D 1614
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25824
80.0%
Latin 6456
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10429
40.4%
1 6414
24.8%
2 4224
16.4%
5 2005
 
7.8%
3 519
 
2.0%
7 503
 
1.9%
8 471
 
1.8%
9 444
 
1.7%
4 417
 
1.6%
6 398
 
1.5%
Latin
ValueCountFrequency (%)
F 3228
50.0%
C 1614
25.0%
D 1614
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10429
32.3%
1 6414
19.9%
2 4224
13.1%
F 3228
 
10.0%
5 2005
 
6.2%
C 1614
 
5.0%
D 1614
 
5.0%
3 519
 
1.6%
7 503
 
1.6%
8 471
 
1.5%
Other values (3) 1259
 
3.9%
Distinct1176
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-05-11T14:51:35.527824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.2850062
Min length8

Characters and Unicode

Total characters13372
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

Unique883 ?
Unique (%)54.7%

Sample

1st row19850101
2nd row1992-07-30
3rd row20000118
4th row20011122
5th row2002-06-14
ValueCountFrequency (%)
20090128 22
 
1.4%
20090130 9
 
0.6%
20071001 6
 
0.4%
20080602 5
 
0.3%
20080526 5
 
0.3%
20090910 5
 
0.3%
20100506 5
 
0.3%
20071026 5
 
0.3%
20070430 5
 
0.3%
20120416 4
 
0.2%
Other values (1166) 1543
95.6%
2024-05-11T14:51:36.046749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4257
31.8%
2 3118
23.3%
1 2245
16.8%
3 548
 
4.1%
8 510
 
3.8%
7 501
 
3.7%
9 461
 
3.4%
- 460
 
3.4%
4 453
 
3.4%
6 411
 
3.1%
Other values (2) 408
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12909
96.5%
Dash Punctuation 460
 
3.4%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4257
33.0%
2 3118
24.2%
1 2245
17.4%
3 548
 
4.2%
8 510
 
4.0%
7 501
 
3.9%
9 461
 
3.6%
4 453
 
3.5%
6 411
 
3.2%
5 405
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 460
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4257
31.8%
2 3118
23.3%
1 2245
16.8%
3 548
 
4.1%
8 510
 
3.8%
7 501
 
3.7%
9 461
 
3.4%
- 460
 
3.4%
4 453
 
3.4%
6 411
 
3.1%
Other values (2) 408
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4257
31.8%
2 3118
23.3%
1 2245
16.8%
3 548
 
4.1%
8 510
 
3.8%
7 501
 
3.7%
9 461
 
3.4%
- 460
 
3.4%
4 453
 
3.4%
6 411
 
3.1%
Other values (2) 408
 
3.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1613 
20190916
 
1

Length

Max length8
Median length4
Mean length4.0024783
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1613
99.9%
20190916 1
 
0.1%

Length

2024-05-11T14:51:36.245661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:36.421490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1613
99.9%
20190916 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
1
1327 
3
226 
5
 
59
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row1
2nd row5
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1327
82.2%
3 226
 
14.0%
5 59
 
3.7%
2 1
 
0.1%
4 1
 
0.1%

Length

2024-05-11T14:51:36.607653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:36.774138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1327
82.2%
3 226
 
14.0%
5 59
 
3.7%
2 1
 
0.1%
4 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
영업/정상
1327 
폐업
226 
제외/삭제/전출
 
59
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.6933086
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row영업/정상
2nd row제외/삭제/전출
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 1327
82.2%
폐업 226
 
14.0%
제외/삭제/전출 59
 
3.7%
휴업 1
 
0.1%
취소/말소/만료/정지/중지 1
 
0.1%

Length

2024-05-11T14:51:36.978182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:37.189014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1327
82.2%
폐업 226
 
14.0%
제외/삭제/전출 59
 
3.7%
휴업 1
 
0.1%
취소/말소/만료/정지/중지 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
13
1327 
3
226 
15
 
59
2
 
1
30
 
1

Length

Max length2
Median length2
Mean length1.8593556
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row13
2nd row15
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 1327
82.2%
3 226
 
14.0%
15 59
 
3.7%
2 1
 
0.1%
30 1
 
0.1%

Length

2024-05-11T14:51:37.401716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:37.583578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1327
82.2%
3 226
 
14.0%
15 59
 
3.7%
2 1
 
0.1%
30 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
영업중
1327 
폐업
226 
전출
 
59
휴업
 
1
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8234201
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1327
82.2%
폐업 226
 
14.0%
전출 59
 
3.7%
휴업 1
 
0.1%
허가취소 1
 
0.1%

Length

2024-05-11T14:51:37.793145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:37.968882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1327
82.2%
폐업 226
 
14.0%
전출 59
 
3.7%
휴업 1
 
0.1%
허가취소 1
 
0.1%

폐업일자
Text

MISSING 

Distinct251
Distinct (%)88.4%
Missing1330
Missing (%)82.4%
Memory size12.7 KiB
2024-05-11T14:51:38.408051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.4084507
Min length8

Characters and Unicode

Total characters2388
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

Unique224 ?
Unique (%)78.9%

Sample

1st row2023-05-15
2nd row20140129
3rd row20140129
4th row20150911
5th row20110509
ValueCountFrequency (%)
20221228 4
 
1.4%
20211231 4
 
1.4%
20150331 4
 
1.4%
2023-12-21 2
 
0.7%
20130326 2
 
0.7%
2023-12-06 2
 
0.7%
20170414 2
 
0.7%
20150326 2
 
0.7%
20120126 2
 
0.7%
20170223 2
 
0.7%
Other values (241) 258
90.8%
2024-05-11T14:51:39.165443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 672
28.1%
0 612
25.6%
1 432
18.1%
3 132
 
5.5%
- 116
 
4.9%
4 90
 
3.8%
6 73
 
3.1%
5 68
 
2.8%
9 65
 
2.7%
8 64
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2272
95.1%
Dash Punctuation 116
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 672
29.6%
0 612
26.9%
1 432
19.0%
3 132
 
5.8%
4 90
 
4.0%
6 73
 
3.2%
5 68
 
3.0%
9 65
 
2.9%
8 64
 
2.8%
7 64
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 672
28.1%
0 612
25.6%
1 432
18.1%
3 132
 
5.5%
- 116
 
4.9%
4 90
 
3.8%
6 73
 
3.1%
5 68
 
2.8%
9 65
 
2.7%
8 64
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 672
28.1%
0 612
25.6%
1 432
18.1%
3 132
 
5.5%
- 116
 
4.9%
4 90
 
3.8%
6 73
 
3.1%
5 68
 
2.8%
9 65
 
2.7%
8 64
 
2.7%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1613 
20130228
 
1

Length

Max length8
Median length4
Mean length4.0024783
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1613
99.9%
20130228 1
 
0.1%

Length

2024-05-11T14:51:39.460933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:39.672534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1613
99.9%
20130228 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1613 
20150228
 
1

Length

Max length8
Median length4
Mean length4.0024783
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1613
99.9%
20150228 1
 
0.1%

Length

2024-05-11T14:51:39.879638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:40.047753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1613
99.9%
20150228 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

전화번호
Text

MISSING 

Distinct477
Distinct (%)93.5%
Missing1104
Missing (%)68.4%
Memory size12.7 KiB
2024-05-11T14:51:40.353278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.178431
Min length8

Characters and Unicode

Total characters5701
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

Unique455 ?
Unique (%)89.2%

Sample

1st row02-545-0417
2nd row544-1663
3rd row02-542-4405
4th row02-3448-8822
5th row02-6205-5400
ValueCountFrequency (%)
02-517-8080 7
 
1.4%
02-566-7901 4
 
0.8%
3014-6606 4
 
0.8%
02-3490-9300 3
 
0.6%
02-324-0469 3
 
0.6%
02-6203-6096 2
 
0.4%
070-7730-2716 2
 
0.4%
02-3444-1055 2
 
0.4%
070-8224-3112 2
 
0.4%
02-544-8308 2
 
0.4%
Other values (467) 479
93.9%
2024-05-11T14:51:40.908452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 936
16.4%
- 926
16.2%
2 704
12.3%
5 557
9.8%
4 500
8.8%
7 425
7.5%
1 393
6.9%
3 364
 
6.4%
6 343
 
6.0%
8 299
 
5.2%
Other values (2) 254
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4774
83.7%
Dash Punctuation 926
 
16.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 936
19.6%
2 704
14.7%
5 557
11.7%
4 500
10.5%
7 425
8.9%
1 393
8.2%
3 364
 
7.6%
6 343
 
7.2%
8 299
 
6.3%
9 253
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 926
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5701
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 936
16.4%
- 926
16.2%
2 704
12.3%
5 557
9.8%
4 500
8.8%
7 425
7.5%
1 393
6.9%
3 364
 
6.4%
6 343
 
6.0%
8 299
 
5.2%
Other values (2) 254
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 936
16.4%
- 926
16.2%
2 704
12.3%
5 557
9.8%
4 500
8.8%
7 425
7.5%
1 393
6.9%
3 364
 
6.4%
6 343
 
6.0%
8 299
 
5.2%
Other values (2) 254
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)72.7%
Missing1581
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean135725.82
Minimum135091
Maximum135962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-05-11T14:51:41.117632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135091
5-th percentile135112
Q1135830
median135881
Q3135913
95-th percentile135943.2
Maximum135962
Range871
Interquartile range (IQR)83

Descriptive statistics

Standard deviation324.7971
Coefficient of variation (CV)0.0023930384
Kurtosis0.13453778
Mean135725.82
Median Absolute Deviation (MAD)39
Skewness-1.4341709
Sum4478952
Variance105493.15
MonotonicityNot monotonic
2024-05-11T14:51:41.320744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
135120 5
 
0.3%
135913 3
 
0.2%
135875 2
 
0.1%
135881 2
 
0.1%
135940 2
 
0.1%
135820 1
 
0.1%
135847 1
 
0.1%
135893 1
 
0.1%
135948 1
 
0.1%
135907 1
 
0.1%
Other values (14) 14
 
0.9%
(Missing) 1581
98.0%
ValueCountFrequency (%)
135091 1
 
0.1%
135100 1
 
0.1%
135120 5
0.3%
135820 1
 
0.1%
135830 1
 
0.1%
135832 1
 
0.1%
135839 1
 
0.1%
135840 1
 
0.1%
135847 1
 
0.1%
135867 1
 
0.1%
ValueCountFrequency (%)
135962 1
 
0.1%
135948 1
 
0.1%
135940 2
0.1%
135920 1
 
0.1%
135919 1
 
0.1%
135918 1
 
0.1%
135913 3
0.2%
135910 1
 
0.1%
135907 1
 
0.1%
135893 1
 
0.1%
Distinct941
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-05-11T14:51:41.655428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length25.627014
Min length16

Characters and Unicode

Total characters41362
Distinct characters381
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)48.8%

Sample

1st row서울특별시 강남구 논현동 ***번지 청안주택
2nd row서울특별시 강남구 도곡동 ***-** 우성캐릭터빌
3rd row서울특별시 강남구 신사동 ***-*번지 진송빌딩 *층
4th row서울특별시 강남구 역삼동 ***번지
5th row서울특별시 강남구 논현동 **-*
ValueCountFrequency (%)
서울특별시 1614
20.9%
강남구 1613
20.9%
번지 1063
13.8%
558
 
7.2%
논현동 522
 
6.8%
역삼동 306
 
4.0%
신사동 294
 
3.8%
삼성동 185
 
2.4%
178
 
2.3%
청담동 124
 
1.6%
Other values (737) 1268
16.4%
2024-05-11T14:51:42.239529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7841
19.0%
7263
17.6%
1673
 
4.0%
1643
 
4.0%
1643
 
4.0%
1632
 
3.9%
1627
 
3.9%
1617
 
3.9%
1616
 
3.9%
1615
 
3.9%
Other values (371) 13192
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24543
59.3%
Other Punctuation 7857
 
19.0%
Space Separator 7263
 
17.6%
Dash Punctuation 1439
 
3.5%
Uppercase Letter 190
 
0.5%
Decimal Number 29
 
0.1%
Lowercase Letter 16
 
< 0.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1673
 
6.8%
1643
 
6.7%
1643
 
6.7%
1632
 
6.6%
1627
 
6.6%
1617
 
6.6%
1616
 
6.6%
1615
 
6.6%
1614
 
6.6%
1111
 
4.5%
Other values (319) 8752
35.7%
Uppercase Letter
ValueCountFrequency (%)
B 26
13.7%
E 18
 
9.5%
A 17
 
8.9%
S 14
 
7.4%
O 13
 
6.8%
R 12
 
6.3%
T 11
 
5.8%
L 10
 
5.3%
W 9
 
4.7%
K 7
 
3.7%
Other values (15) 53
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
s 2
12.5%
o 2
12.5%
h 2
12.5%
r 2
12.5%
w 1
 
6.2%
a 1
 
6.2%
p 1
 
6.2%
u 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
8 7
24.1%
4 6
20.7%
1 5
17.2%
2 3
10.3%
6 3
10.3%
3 2
 
6.9%
7 2
 
6.9%
9 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
* 7841
99.8%
, 9
 
0.1%
. 3
 
< 0.1%
/ 2
 
< 0.1%
& 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24543
59.3%
Common 16612
40.2%
Latin 207
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1673
 
6.8%
1643
 
6.7%
1643
 
6.7%
1632
 
6.6%
1627
 
6.6%
1617
 
6.6%
1616
 
6.6%
1615
 
6.6%
1614
 
6.6%
1111
 
4.5%
Other values (319) 8752
35.7%
Latin
ValueCountFrequency (%)
B 26
 
12.6%
E 18
 
8.7%
A 17
 
8.2%
S 14
 
6.8%
O 13
 
6.3%
R 12
 
5.8%
T 11
 
5.3%
L 10
 
4.8%
W 9
 
4.3%
K 7
 
3.4%
Other values (25) 70
33.8%
Common
ValueCountFrequency (%)
* 7841
47.2%
7263
43.7%
- 1439
 
8.7%
) 12
 
0.1%
( 12
 
0.1%
, 9
 
0.1%
8 7
 
< 0.1%
4 6
 
< 0.1%
1 5
 
< 0.1%
2 3
 
< 0.1%
Other values (7) 15
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24543
59.3%
ASCII 16818
40.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7841
46.6%
7263
43.2%
- 1439
 
8.6%
B 26
 
0.2%
E 18
 
0.1%
A 17
 
0.1%
S 14
 
0.1%
O 13
 
0.1%
) 12
 
0.1%
( 12
 
0.1%
Other values (41) 163
 
1.0%
Hangul
ValueCountFrequency (%)
1673
 
6.8%
1643
 
6.7%
1643
 
6.7%
1632
 
6.6%
1627
 
6.6%
1617
 
6.6%
1616
 
6.6%
1615
 
6.6%
1614
 
6.6%
1111
 
4.5%
Other values (319) 8752
35.7%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct1211
Distinct (%)75.6%
Missing12
Missing (%)0.7%
Memory size12.7 KiB
2024-05-11T14:51:42.745102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length32.980649
Min length16

Characters and Unicode

Total characters52835
Distinct characters396
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1007 ?
Unique (%)62.9%

Sample

1st row서울특별시 강남구 선릉로***길 *, *층 ***호 (논현동, 청안주택)
2nd row서울특별시 강남구 언주로 ***, 우성캐릭터빌 *층 ***호 (도곡동)
3rd row서울특별시 강남구 압구정로**길 ** (신사동,진송빌딩 *층)
4th row서울특별시 강남구 테헤란로 ***, **층 (역삼동, 동우빌딩)
5th row서울특별시 강남구 도산대로 ***, *,*,*층 (논현동, ***빌딩)
ValueCountFrequency (%)
1609
16.4%
서울특별시 1602
16.3%
강남구 1601
16.3%
612
 
6.2%
논현동 413
 
4.2%
404
 
4.1%
역삼동 245
 
2.5%
신사동 201
 
2.0%
삼성동 152
 
1.5%
논현로***길 143
 
1.5%
Other values (857) 2830
28.8%
2024-05-11T14:51:43.796922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8994
17.0%
8624
 
16.3%
1894
 
3.6%
1751
 
3.3%
1738
 
3.3%
1696
 
3.2%
1634
 
3.1%
1620
 
3.1%
( 1610
 
3.0%
) 1610
 
3.0%
Other values (386) 21664
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29911
56.6%
Other Punctuation 10580
 
20.0%
Space Separator 8624
 
16.3%
Open Punctuation 1610
 
3.0%
Close Punctuation 1610
 
3.0%
Uppercase Letter 232
 
0.4%
Dash Punctuation 189
 
0.4%
Decimal Number 46
 
0.1%
Lowercase Letter 27
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1894
 
6.3%
1751
 
5.9%
1738
 
5.8%
1696
 
5.7%
1634
 
5.5%
1620
 
5.4%
1609
 
5.4%
1607
 
5.4%
1604
 
5.4%
1602
 
5.4%
Other values (327) 13156
44.0%
Uppercase Letter
ValueCountFrequency (%)
B 30
12.9%
E 24
10.3%
A 22
 
9.5%
S 20
 
8.6%
O 16
 
6.9%
T 16
 
6.9%
R 14
 
6.0%
W 12
 
5.2%
L 11
 
4.7%
P 9
 
3.9%
Other values (15) 58
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
18.5%
r 3
11.1%
h 3
11.1%
u 2
 
7.4%
b 2
 
7.4%
a 2
 
7.4%
o 2
 
7.4%
s 2
 
7.4%
w 1
 
3.7%
p 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
1 14
30.4%
5 8
17.4%
2 6
13.0%
0 5
 
10.9%
4 4
 
8.7%
3 4
 
8.7%
7 2
 
4.3%
6 2
 
4.3%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 8994
85.0%
, 1579
 
14.9%
. 3
 
< 0.1%
/ 2
 
< 0.1%
& 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
8624
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1610
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29911
56.6%
Common 22664
42.9%
Latin 260
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1894
 
6.3%
1751
 
5.9%
1738
 
5.8%
1696
 
5.7%
1634
 
5.5%
1620
 
5.4%
1609
 
5.4%
1607
 
5.4%
1604
 
5.4%
1602
 
5.4%
Other values (327) 13156
44.0%
Latin
ValueCountFrequency (%)
B 30
 
11.5%
E 24
 
9.2%
A 22
 
8.5%
S 20
 
7.7%
O 16
 
6.2%
T 16
 
6.2%
R 14
 
5.4%
W 12
 
4.6%
L 11
 
4.2%
P 9
 
3.5%
Other values (30) 86
33.1%
Common
ValueCountFrequency (%)
* 8994
39.7%
8624
38.1%
( 1610
 
7.1%
) 1610
 
7.1%
, 1579
 
7.0%
- 189
 
0.8%
1 14
 
0.1%
5 8
 
< 0.1%
2 6
 
< 0.1%
0 5
 
< 0.1%
Other values (9) 25
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29911
56.6%
ASCII 22923
43.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8994
39.2%
8624
37.6%
( 1610
 
7.0%
) 1610
 
7.0%
, 1579
 
6.9%
- 189
 
0.8%
B 30
 
0.1%
E 24
 
0.1%
A 22
 
0.1%
S 20
 
0.1%
Other values (48) 221
 
1.0%
Hangul
ValueCountFrequency (%)
1894
 
6.3%
1751
 
5.9%
1738
 
5.8%
1696
 
5.7%
1634
 
5.5%
1620
 
5.4%
1609
 
5.4%
1607
 
5.4%
1604
 
5.4%
1602
 
5.4%
Other values (327) 13156
44.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct342
Distinct (%)29.7%
Missing462
Missing (%)28.6%
Memory size12.7 KiB
2024-05-11T14:51:44.334508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2942708
Min length5

Characters and Unicode

Total characters6099
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

Unique126 ?
Unique (%)10.9%

Sample

1st row06100
2nd row06295
3rd row06212
4th row06054
5th row135930
ValueCountFrequency (%)
06049 28
 
2.4%
06052 17
 
1.5%
06097 17
 
1.5%
06040 16
 
1.4%
06037 14
 
1.2%
135011 14
 
1.2%
135120 13
 
1.1%
06159 12
 
1.0%
06039 12
 
1.0%
06051 12
 
1.0%
Other values (332) 997
86.5%
2024-05-11T14:51:45.089688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1515
24.8%
6 983
16.1%
1 921
15.1%
3 624
10.2%
5 565
 
9.3%
2 382
 
6.3%
9 335
 
5.5%
8 311
 
5.1%
4 251
 
4.1%
7 202
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6089
99.8%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1515
24.9%
6 983
16.1%
1 921
15.1%
3 624
10.2%
5 565
 
9.3%
2 382
 
6.3%
9 335
 
5.5%
8 311
 
5.1%
4 251
 
4.1%
7 202
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6099
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1515
24.8%
6 983
16.1%
1 921
15.1%
3 624
10.2%
5 565
 
9.3%
2 382
 
6.3%
9 335
 
5.5%
8 311
 
5.1%
4 251
 
4.1%
7 202
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6099
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1515
24.8%
6 983
16.1%
1 921
15.1%
3 624
10.2%
5 565
 
9.3%
2 382
 
6.3%
9 335
 
5.5%
8 311
 
5.1%
4 251
 
4.1%
7 202
 
3.3%
Distinct1593
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2024-05-11T14:51:45.497396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length9.0291202
Min length1

Characters and Unicode

Total characters14573
Distinct characters635
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1572 ?
Unique (%)97.4%

Sample

1st row(주)인터렉티브미디어믹스
2nd row㈜동아수출공사
3rd row(주)프리즘네트워크
4th row(주)에그필름
5th row주식회사 쇼박스
ValueCountFrequency (%)
주식회사 246
 
12.3%
유한회사 14
 
0.7%
영화사 11
 
0.6%
스튜디오 6
 
0.3%
pictures 5
 
0.3%
미디어 4
 
0.2%
엔터테인먼트 4
 
0.2%
4
 
0.2%
지점 4
 
0.2%
프로덕션 3
 
0.2%
Other values (1658) 1695
84.9%
2024-05-11T14:51:46.188988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1075
 
7.4%
( 867
 
5.9%
) 867
 
5.9%
642
 
4.4%
496
 
3.4%
383
 
2.6%
364
 
2.5%
327
 
2.2%
293
 
2.0%
271
 
1.9%
Other values (625) 8988
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11779
80.8%
Open Punctuation 867
 
5.9%
Close Punctuation 867
 
5.9%
Space Separator 383
 
2.6%
Other Symbol 266
 
1.8%
Uppercase Letter 192
 
1.3%
Lowercase Letter 176
 
1.2%
Other Punctuation 22
 
0.2%
Decimal Number 19
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1075
 
9.1%
642
 
5.5%
496
 
4.2%
364
 
3.1%
327
 
2.8%
293
 
2.5%
271
 
2.3%
263
 
2.2%
250
 
2.1%
248
 
2.1%
Other values (560) 7550
64.1%
Uppercase Letter
ValueCountFrequency (%)
E 19
 
9.9%
A 18
 
9.4%
O 14
 
7.3%
P 13
 
6.8%
S 12
 
6.2%
C 11
 
5.7%
I 11
 
5.7%
M 11
 
5.7%
N 10
 
5.2%
T 9
 
4.7%
Other values (15) 64
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 22
12.5%
t 17
 
9.7%
e 16
 
9.1%
i 14
 
8.0%
r 12
 
6.8%
n 11
 
6.2%
d 10
 
5.7%
a 10
 
5.7%
s 9
 
5.1%
u 9
 
5.1%
Other values (12) 46
26.1%
Decimal Number
ValueCountFrequency (%)
2 7
36.8%
8 3
15.8%
1 3
15.8%
3 2
 
10.5%
5 2
 
10.5%
0 1
 
5.3%
4 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 13
59.1%
& 4
 
18.2%
, 3
 
13.6%
; 1
 
4.5%
? 1
 
4.5%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 867
100.0%
Space Separator
ValueCountFrequency (%)
383
100.0%
Other Symbol
ValueCountFrequency (%)
266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12045
82.7%
Common 2160
 
14.8%
Latin 368
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1075
 
8.9%
642
 
5.3%
496
 
4.1%
364
 
3.0%
327
 
2.7%
293
 
2.4%
271
 
2.2%
266
 
2.2%
263
 
2.2%
250
 
2.1%
Other values (561) 7798
64.7%
Latin
ValueCountFrequency (%)
o 22
 
6.0%
E 19
 
5.2%
A 18
 
4.9%
t 17
 
4.6%
e 16
 
4.3%
i 14
 
3.8%
O 14
 
3.8%
P 13
 
3.5%
r 12
 
3.3%
S 12
 
3.3%
Other values (37) 211
57.3%
Common
ValueCountFrequency (%)
( 867
40.1%
) 867
40.1%
383
17.7%
. 13
 
0.6%
2 7
 
0.3%
& 4
 
0.2%
8 3
 
0.1%
, 3
 
0.1%
1 3
 
0.1%
3 2
 
0.1%
Other values (7) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11779
80.8%
ASCII 2528
 
17.3%
None 266
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1075
 
9.1%
642
 
5.5%
496
 
4.2%
364
 
3.1%
327
 
2.8%
293
 
2.5%
271
 
2.3%
263
 
2.2%
250
 
2.1%
248
 
2.1%
Other values (560) 7550
64.1%
ASCII
ValueCountFrequency (%)
( 867
34.3%
) 867
34.3%
383
15.2%
o 22
 
0.9%
E 19
 
0.8%
A 18
 
0.7%
t 17
 
0.7%
e 16
 
0.6%
i 14
 
0.6%
O 14
 
0.6%
Other values (54) 291
 
11.5%
None
ValueCountFrequency (%)
266
100.0%
Distinct1357
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
Minimum2010-04-26 14:09:53
Maximum2024-05-09 14:25:29
2024-05-11T14:51:46.446572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:46.665649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
I
1259 
U
354 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 1259
78.0%
U 354
 
21.9%
D 1
 
0.1%

Length

2024-05-11T14:51:46.862589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:47.035277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1259
78.0%
u 354
 
21.9%
d 1
 
0.1%
Distinct489
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:51:47.209442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:47.448585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct1155
Distinct (%)71.9%
Missing8
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean203363.43
Minimum201537.29
Maximum210026.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-05-11T14:51:47.698570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201537.29
5-th percentile201876.76
Q1202514.64
median203136.09
Q3203931.1
95-th percentile205459.11
Maximum210026.55
Range8489.2592
Interquartile range (IQR)1416.4625

Descriptive statistics

Standard deviation1220.7267
Coefficient of variation (CV)0.0060026854
Kurtosis4.6495177
Mean203363.43
Median Absolute Deviation (MAD)698.41903
Skewness1.621569
Sum3.2660167 × 108
Variance1490173.7
MonotonicityNot monotonic
2024-05-11T14:51:47.901838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201956.561428209 11
 
0.7%
205079.418138107 10
 
0.6%
205271.275273064 9
 
0.6%
201876.763775315 7
 
0.4%
202233.376703439 7
 
0.4%
203588.048190661 7
 
0.4%
203919.495860998 6
 
0.4%
204518.8799802 6
 
0.4%
204819.34560229 5
 
0.3%
202515.189829718 5
 
0.3%
Other values (1145) 1533
95.0%
(Missing) 8
 
0.5%
ValueCountFrequency (%)
201537.291178087 1
0.1%
201543.962547061 1
0.1%
201558.22853571 1
0.1%
201609.62721933 2
0.1%
201621.76711437 1
0.1%
201639.245453617 2
0.1%
201657.313312924 2
0.1%
201664.929814711 1
0.1%
201670.69965165 2
0.1%
201695.96817082 1
0.1%
ValueCountFrequency (%)
210026.550356859 1
 
0.1%
209686.18160076 1
 
0.1%
209634.070312153 1
 
0.1%
209253.71833848 1
 
0.1%
209144.783150288 2
0.1%
209099.504387378 1
 
0.1%
209055.480464368 2
0.1%
209052.072465426 2
0.1%
208937.760652081 3
0.2%
208882.377353339 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1155
Distinct (%)71.9%
Missing8
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean445474.92
Minimum439796.04
Maximum447585.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-05-11T14:51:48.113983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439796.04
5-th percentile443139.74
Q1444802.37
median445732.62
Q3446408.86
95-th percentile447014.72
Maximum447585.9
Range7789.8544
Interquartile range (IQR)1606.4919

Descriptive statistics

Standard deviation1234.7505
Coefficient of variation (CV)0.0027717621
Kurtosis0.98952976
Mean445474.92
Median Absolute Deviation (MAD)808.85594
Skewness-1.0140157
Sum7.1543272 × 108
Variance1524608.8
MonotonicityNot monotonic
2024-05-11T14:51:48.378844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445325.198366946 11
 
0.7%
444869.834721154 10
 
0.6%
445852.638814088 9
 
0.6%
446752.450886565 7
 
0.4%
446247.902496745 7
 
0.4%
446183.368328818 7
 
0.4%
446817.141574693 6
 
0.4%
442703.584823804 6
 
0.4%
446662.792093523 5
 
0.3%
446345.5890287 5
 
0.3%
Other values (1145) 1533
95.0%
(Missing) 8
 
0.5%
ValueCountFrequency (%)
439796.044686133 1
0.1%
440518.109999999 1
0.1%
440603.367544216 1
0.1%
440926.401844675 1
0.1%
440977.577288582 1
0.1%
441014.810920055 1
0.1%
441344.950914234 2
0.1%
441349.051365994 1
0.1%
441349.074287866 1
0.1%
441349.165858561 1
0.1%
ValueCountFrequency (%)
447585.899073758 1
0.1%
447506.170119692 1
0.1%
447452.992945972 1
0.1%
447435.475399883 1
0.1%
447432.415391304 1
0.1%
447411.464444137 1
0.1%
447312.903662969 1
0.1%
447305.183930489 1
0.1%
447304.209942729 1
0.1%
447283.756960254 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
영화제작업
1207 
<NA>
407 

Length

Max length5
Median length5
Mean length4.7478315
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 1207
74.8%
<NA> 407
 
25.2%

Length

2024-05-11T14:51:48.590733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:48.783149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 1207
74.8%
na 407
 
25.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

총층수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1287 
0
327 

Length

Max length4
Median length4
Mean length3.3921933
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> 1287
79.7%
0 327
 
20.3%

Length

2024-05-11T14:51:48.987172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:49.168183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1287
79.7%
0 327
 
20.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1287 
0
327 

Length

Max length4
Median length4
Mean length3.3921933
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> 1287
79.7%
0 327
 
20.3%

Length

2024-05-11T14:51:49.360746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:49.514152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1287
79.7%
0 327
 
20.3%

지상층수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1287 
0
327 

Length

Max length4
Median length4
Mean length3.3921933
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> 1287
79.7%
0 327
 
20.3%

Length

2024-05-11T14:51:49.667914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:49.828664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1287
79.7%
0 327
 
20.3%

지하층수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1287 
0
327 

Length

Max length4
Median length4
Mean length3.3921933
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> 1287
79.7%
0 327
 
20.3%

Length

2024-05-11T14:51:49.988403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:50.139828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1287
79.7%
0 327
 
20.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1573 
0
 
41

Length

Max length4
Median length4
Mean length3.9237918
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> 1573
97.5%
0 41
 
2.5%

Length

2024-05-11T14:51:50.310518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:50.510049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1573
97.5%
0 41
 
2.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1573 
0
 
41

Length

Max length4
Median length4
Mean length3.9237918
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> 1573
97.5%
0 41
 
2.5%

Length

2024-05-11T14:51:50.710579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:50.891588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1573
97.5%
0 41
 
2.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1573 
0
 
41

Length

Max length4
Median length4
Mean length3.9237918
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> 1573
97.5%
0 41
 
2.5%

Length

2024-05-11T14:51:51.105148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:51.278265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1573
97.5%
0 41
 
2.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1573 
0
 
41

Length

Max length4
Median length4
Mean length3.9237918
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> 1573
97.5%
0 41
 
2.5%

Length

2024-05-11T14:51:51.435378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:51.582947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1573
97.5%
0 41
 
2.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
<NA>
1573 
0
 
41

Length

Max length4
Median length4
Mean length3.9237918
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> 1573
97.5%
0 41
 
2.5%

Length

2024-05-11T14:51:51.754605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:51.918146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1573
97.5%
0 41
 
2.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct866
Distinct (%)71.7%
Missing407
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean20078651
Minimum2008121
Maximum20220323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-05-11T14:51:52.095998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008121
5-th percentile20070103
Q120090128
median20120307
Q320160424
95-th percentile20201189
Maximum20220323
Range18212202
Interquartile range (IQR)70295.5

Descriptive statistics

Standard deviation903527.27
Coefficient of variation (CV)0.044999402
Kurtosis396.98623
Mean20078651
Median Absolute Deviation (MAD)39189
Skewness-19.93296
Sum2.4234931 × 1010
Variance8.1636152 × 1011
MonotonicityNot monotonic
2024-05-11T14:51:52.325950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090128 22
 
1.4%
20090130 9
 
0.6%
20071001 6
 
0.4%
20071026 5
 
0.3%
20070430 5
 
0.3%
20100506 5
 
0.3%
20090910 5
 
0.3%
20080526 5
 
0.3%
20080602 5
 
0.3%
20090423 4
 
0.2%
Other values (856) 1136
70.4%
(Missing) 407
 
25.2%
ValueCountFrequency (%)
2008121 3
0.2%
19850101 1
 
0.1%
20000118 1
 
0.1%
20000121 1
 
0.1%
20000128 1
 
0.1%
20011122 1
 
0.1%
20020901 2
0.1%
20021030 1
 
0.1%
20040107 1
 
0.1%
20040904 1
 
0.1%
ValueCountFrequency (%)
20220323 1
0.1%
20220215 1
0.1%
20220128 1
0.1%
20220125 2
0.1%
20220121 2
0.1%
20220119 1
0.1%
20220118 1
0.1%
20220113 1
0.1%
20220106 2
0.1%
20220105 1
0.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1614
Missing (%)100.0%
Memory size14.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF521101198500000119850101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-545-0417<NA><NA>서울특별시 강남구 논현동 ***번지 청안주택서울특별시 강남구 선릉로***길 *, *층 ***호 (논현동, 청안주택)06100(주)인터렉티브미디어믹스2018-01-30 19:37:41I2018-08-31 23:59:59.0<NA>203632.872162445690.330317영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19850101<NA>
13220000CDFF52110119920000011992-07-30<NA>5제외/삭제/전출15전출2023-05-15<NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 ***-** 우성캐릭터빌서울특별시 강남구 언주로 ***, 우성캐릭터빌 *층 ***호 (도곡동)06295㈜동아수출공사2023-05-15 13:51:52U2022-12-04 23:07:00.0<NA>204445.439339442766.115007<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF521101200000000120000118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-*번지 진송빌딩 *층서울특별시 강남구 압구정로**길 ** (신사동,진송빌딩 *층)<NA>(주)프리즘네트워크2010-07-08 16:06:05I2018-08-31 23:59:59.0<NA>201874.279735446735.053982영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000118<NA>
33220000CDFF521101200100000120011122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***번지서울특별시 강남구 테헤란로 ***, **층 (역삼동, 동우빌딩)06212(주)에그필름2017-02-06 09:28:46I2018-08-31 23:59:59.0<NA>204130.823745444612.149928영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20011122<NA>
43220000CDFF52110120020000012002-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-*서울특별시 강남구 도산대로 ***, *,*,*층 (논현동, ***빌딩)06054주식회사 쇼박스2024-04-03 10:24:42U2023-12-04 00:05:00.0<NA>203064.640171446594.319139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFF521101200200000220021030<NA>1영업/정상13영업중<NA><NA><NA><NA>544-1663<NA><NA>서울특별시 강남구 논현동 ***-**번지 ***호서울특별시 강남구 봉은사로**길 **-*, ***호 (논현동)<NA>엠투커뮤니케이션2011-03-24 17:50:15I2018-08-31 23:59:59.0<NA>202976.08585445206.707897영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20021030<NA>
63220000CDFF521101200200000320020901<NA>3폐업3폐업20140129<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**번지 정유빌딩*층서울특별시 강남구 논현로 ***, *층 (역삼동, 정유빌딩)135930㈜이코리아2014-01-29 12:59:27I2018-08-31 23:59:59.0<NA>203450.825443514.595영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20020901<NA>
73220000CDFF521101200200000420020901<NA>3폐업3폐업20140129<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**번지 정유빌딩*층서울특별시 강남구 논현로 ***, *층 (역삼동, 정유빌딩)135930㈜디오데오2014-01-29 13:05:15I2018-08-31 23:59:59.0<NA>203450.825443514.595영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20020901<NA>
83220000CDFF521101200400000320040904<NA>3폐업3폐업20150911<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 ***-**번지 유화빌딩 *층서울특별시 강남구 테헤란로 *** (대치동,유화빌딩 *층)<NA>(주)크라제픽쳐스2015-09-11 11:14:47I2018-08-31 23:59:59.0<NA>205636.367493445183.035279영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040904<NA>
93220000CDFF521101200400000420040107<NA>1영업/정상13영업중<NA><NA><NA><NA>02-542-4405<NA><NA>서울특별시 강남구 논현동 ***-**번지서울특별시 강남구 선릉로***길 **, ***호 (논현동, 향원빌딩)06100컴어나더(주)2017-06-12 11:06:20I2018-08-31 23:59:59.0<NA>203591.13403445726.743186영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040107<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
16043220000CDFF52110120240000202024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** 동경빌딩서울특별시 강남구 테헤란로 ***, 동경빌딩 **층 에스****호 (역삼동)06233주식회사 다큐스토리프로덕션 (Docustory Production Corp.)2024-03-04 17:17:41I2023-12-03 00:06:00.0<NA>202632.445261444024.960364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16053220000CDFF52110120240000212018-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 ***-* 에스케이 허브블루서울특별시 강남구 학동로 ***, 에스케이 허브블루 ****호 (논현동)06099오리진필름(주)2024-03-06 09:58:58I2023-12-03 00:08:00.0<NA>203518.763333446051.579832<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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