Overview

Dataset statistics

Number of variables56
Number of observations848
Missing cells24769
Missing cells (%)52.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory399.3 KiB
Average record size in memory482.2 B

Variable types

Categorical16
Text7
DateTime3
Unsupported24
Numeric6

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16749/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (86.7%)Imbalance
데이터갱신일자 is highly imbalanced (91.4%)Imbalance
문화체육업종명 is highly imbalanced (79.6%)Imbalance
문화사업자구분명 is highly imbalanced (79.6%)Imbalance
주변환경명 is highly imbalanced (61.2%)Imbalance
제작취급품목내용 is highly imbalanced (85.4%)Imbalance
총게임기수 is highly imbalanced (98.7%)Imbalance
제공게임물명 is highly imbalanced (91.5%)Imbalance
지역구분명 is highly imbalanced (90.7%)Imbalance
인허가취소일자 has 848 (100.0%) missing valuesMissing
폐업일자 has 403 (47.5%) missing valuesMissing
휴업시작일자 has 848 (100.0%) missing valuesMissing
휴업종료일자 has 848 (100.0%) missing valuesMissing
재개업일자 has 848 (100.0%) missing valuesMissing
전화번호 has 321 (37.9%) missing valuesMissing
소재지면적 has 848 (100.0%) missing valuesMissing
소재지우편번호 has 419 (49.4%) missing valuesMissing
도로명주소 has 196 (23.1%) missing valuesMissing
도로명우편번호 has 839 (98.9%) missing valuesMissing
업태구분명 has 848 (100.0%) missing valuesMissing
좌표정보(X) has 141 (16.6%) missing valuesMissing
좌표정보(Y) has 141 (16.6%) missing valuesMissing
총층수 has 536 (63.2%) missing valuesMissing
시설면적 has 40 (4.7%) missing valuesMissing
지상층수 has 536 (63.2%) missing valuesMissing
통로너비 has 848 (100.0%) missing valuesMissing
조명시설조도 has 848 (100.0%) missing valuesMissing
노래방실수 has 848 (100.0%) missing valuesMissing
청소년실수 has 848 (100.0%) missing valuesMissing
비상계단여부 has 848 (100.0%) missing valuesMissing
비상구여부 has 848 (100.0%) missing valuesMissing
자동환기여부 has 848 (100.0%) missing valuesMissing
청소년실여부 has 848 (100.0%) missing valuesMissing
특수조명여부 has 848 (100.0%) missing valuesMissing
방음시설여부 has 848 (100.0%) missing valuesMissing
비디오재생기명 has 848 (100.0%) missing valuesMissing
조명시설유무 has 848 (100.0%) missing valuesMissing
음향시설여부 has 848 (100.0%) missing valuesMissing
편의시설여부 has 848 (100.0%) missing valuesMissing
소방시설여부 has 848 (100.0%) missing valuesMissing
기존게임업외업종명 has 845 (99.6%) missing valuesMissing
공연장형태구분명 has 848 (100.0%) missing valuesMissing
품목명 has 848 (100.0%) missing valuesMissing
최초등록시점 has 848 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 26.99827573)Skewed
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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 289 (34.1%) zerosZeros
시설면적 has 785 (92.6%) zerosZeros
지상층수 has 289 (34.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:39:32.219338
Analysis finished2024-05-11 05:39:33.602655
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
3070000
848 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 848
100.0%

Length

2024-05-11T14:39:33.707633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:33.861845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 848
100.0%

관리번호
Text

UNIQUE 

Distinct848
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-05-11T14:39:34.137403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters16960
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

Unique848 ?
Unique (%)100.0%

Sample

1st rowCDFF2241031985000002
2nd rowCDFF2241031985000003
3rd rowCDFF2241031985000004
4th rowCDFF2241031985000005
5th rowCDFF2241031985000006
ValueCountFrequency (%)
cdff2241031985000002 1
 
0.1%
cdff2241032000000005 1
 
0.1%
cdff2241032000000018 1
 
0.1%
cdff2241032000000008 1
 
0.1%
cdff2241032000000009 1
 
0.1%
cdff2241032000000010 1
 
0.1%
cdff2241032000000011 1
 
0.1%
cdff2241032000000012 1
 
0.1%
cdff2241032000000013 1
 
0.1%
cdff2241032000000014 1
 
0.1%
Other values (838) 838
98.8%
2024-05-11T14:39:34.703625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5134
30.3%
2 2300
13.6%
1 1890
 
11.1%
F 1696
 
10.0%
9 1297
 
7.6%
3 1054
 
6.2%
4 1053
 
6.2%
C 848
 
5.0%
D 848
 
5.0%
8 268
 
1.6%
Other values (3) 572
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13568
80.0%
Uppercase Letter 3392
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5134
37.8%
2 2300
17.0%
1 1890
 
13.9%
9 1297
 
9.6%
3 1054
 
7.8%
4 1053
 
7.8%
8 268
 
2.0%
7 200
 
1.5%
6 196
 
1.4%
5 176
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
F 1696
50.0%
C 848
25.0%
D 848
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13568
80.0%
Latin 3392
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5134
37.8%
2 2300
17.0%
1 1890
 
13.9%
9 1297
 
9.6%
3 1054
 
7.8%
4 1053
 
7.8%
8 268
 
2.0%
7 200
 
1.5%
6 196
 
1.4%
5 176
 
1.3%
Latin
ValueCountFrequency (%)
F 1696
50.0%
C 848
25.0%
D 848
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5134
30.3%
2 2300
13.6%
1 1890
 
11.1%
F 1696
 
10.0%
9 1297
 
7.6%
3 1054
 
6.2%
4 1053
 
6.2%
C 848
 
5.0%
D 848
 
5.0%
8 268
 
1.6%
Other values (3) 572
 
3.4%

인허가일자
Date

Distinct565
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum1985-04-10 00:00:00
Maximum2023-05-26 00:00:00
2024-05-11T14:39:34.953785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:35.236854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
3
424 
4
405 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 424
50.0%
4 405
47.8%
1 19
 
2.2%

Length

2024-05-11T14:39:35.433262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:35.602654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 424
50.0%
4 405
47.8%
1 19
 
2.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
폐업
424 
취소/말소/만료/정지/중지
405 
영업/정상
 
19

Length

Max length14
Median length9.5
Mean length7.7983491
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 424
50.0%
취소/말소/만료/정지/중지 405
47.8%
영업/정상 19
 
2.2%

Length

2024-05-11T14:39:35.866067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.038612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 424
50.0%
취소/말소/만료/정지/중지 405
47.8%
영업/정상 19
 
2.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
03
424 
32
356 
35
49 
BBBB
 
15
13
 
4

Length

Max length4
Median length2
Mean length2.0353774
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBBB
2nd row03
3rd row03
4th rowBBBB
5th row03

Common Values

ValueCountFrequency (%)
03 424
50.0%
32 356
42.0%
35 49
 
5.8%
BBBB 15
 
1.8%
13 4
 
0.5%

Length

2024-05-11T14:39:36.247347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.421152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 424
50.0%
32 356
42.0%
35 49
 
5.8%
bbbb 15
 
1.8%
13 4
 
0.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
폐업
424 
신고취소
356 
직권말소
49 
<NA>
 
15
영업중
 
4

Length

Max length4
Median length3.5
Mean length2.995283
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 424
50.0%
신고취소 356
42.0%
직권말소 49
 
5.8%
<NA> 15
 
1.8%
영업중 4
 
0.5%

Length

2024-05-11T14:39:36.575670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.759668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 424
50.0%
신고취소 356
42.0%
직권말소 49
 
5.8%
na 15
 
1.8%
영업중 4
 
0.5%

폐업일자
Date

MISSING 

Distinct283
Distinct (%)63.6%
Missing403
Missing (%)47.5%
Memory size6.8 KiB
Minimum1997-08-04 00:00:00
Maximum2023-09-22 00:00:00
2024-05-11T14:39:36.976727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:37.166269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

전화번호
Text

MISSING 

Distinct484
Distinct (%)91.8%
Missing321
Missing (%)37.9%
Memory size6.8 KiB
2024-05-11T14:39:37.601535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.9829222
Min length2

Characters and Unicode

Total characters4207
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

Unique465 ?
Unique (%)88.2%

Sample

1st row0000-0000
2nd row0000-0000
3rd row0000-0000
4th row966-0342
5th row0000-0000
ValueCountFrequency (%)
0000-0000 17
 
3.2%
0-0000 6
 
1.1%
0 5
 
0.9%
914-1061 3
 
0.6%
927-3197 3
 
0.6%
918-8636 2
 
0.4%
911-5465 2
 
0.4%
913-0257 2
 
0.4%
921-8053 2
 
0.4%
918-1820 2
 
0.4%
Other values (474) 483
91.7%
2024-05-11T14:39:38.363770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 682
16.2%
- 528
12.6%
1 504
12.0%
0 436
10.4%
2 371
8.8%
4 305
7.2%
7 294
7.0%
6 279
6.6%
5 276
6.6%
3 269
 
6.4%
Other values (2) 263
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3678
87.4%
Dash Punctuation 528
 
12.6%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 682
18.5%
1 504
13.7%
0 436
11.9%
2 371
10.1%
4 305
8.3%
7 294
8.0%
6 279
7.6%
5 276
7.5%
3 269
 
7.3%
8 262
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 528
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4207
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 682
16.2%
- 528
12.6%
1 504
12.0%
0 436
10.4%
2 371
8.8%
4 305
7.2%
7 294
7.0%
6 279
6.6%
5 276
6.6%
3 269
 
6.4%
Other values (2) 263
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 682
16.2%
- 528
12.6%
1 504
12.0%
0 436
10.4%
2 371
8.8%
4 305
7.2%
7 294
7.0%
6 279
6.6%
5 276
6.6%
3 269
 
6.4%
Other values (2) 263
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

소재지우편번호
Text

MISSING 

Distinct97
Distinct (%)22.6%
Missing419
Missing (%)49.4%
Memory size6.8 KiB
2024-05-11T14:39:38.773120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.002331
Min length6

Characters and Unicode

Total characters2575
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)5.4%

Sample

1st row136828
2nd row136140
3rd row136817
4th row136817
5th row136815
ValueCountFrequency (%)
136865 20
 
4.7%
136051 17
 
4.0%
136800 16
 
3.7%
136828 13
 
3.0%
136833 13
 
3.0%
136826 13
 
3.0%
136850 12
 
2.8%
136841 10
 
2.3%
136120 9
 
2.1%
136864 9
 
2.1%
Other values (87) 297
69.2%
2024-05-11T14:39:39.376183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 542
21.0%
3 539
20.9%
6 516
20.0%
8 346
13.4%
0 222
8.6%
5 132
 
5.1%
2 101
 
3.9%
4 86
 
3.3%
7 66
 
2.6%
9 24
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2574
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 542
21.1%
3 539
20.9%
6 516
20.0%
8 346
13.4%
0 222
8.6%
5 132
 
5.1%
2 101
 
3.9%
4 86
 
3.3%
7 66
 
2.6%
9 24
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 542
21.0%
3 539
20.9%
6 516
20.0%
8 346
13.4%
0 222
8.6%
5 132
 
5.1%
2 101
 
3.9%
4 86
 
3.3%
7 66
 
2.6%
9 24
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 542
21.0%
3 539
20.9%
6 516
20.0%
8 346
13.4%
0 222
8.6%
5 132
 
5.1%
2 101
 
3.9%
4 86
 
3.3%
7 66
 
2.6%
9 24
 
0.9%

지번주소
Text

Distinct726
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-05-11T14:39:39.817722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length23.336085
Min length18

Characters and Unicode

Total characters19789
Distinct characters92
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)73.2%

Sample

1st row서울특별시 성북구 장위동 65-169번지
2nd row서울특별시 성북구 장위동 154-9번지
3rd row서울특별시 성북구 석관동 182-44번지
4th row서울특별시 성북구 석관동 126-1번지
5th row서울특별시 성북구 석관동 320-40번지
ValueCountFrequency (%)
서울특별시 848
24.3%
성북구 848
24.3%
장위동 174
 
5.0%
정릉동 106
 
3.0%
하월곡동 103
 
3.0%
석관동 83
 
2.4%
길음동 77
 
2.2%
종암동 66
 
1.9%
동선동1가 29
 
0.8%
안암동5가 23
 
0.7%
Other values (801) 1129
32.4%
2024-05-11T14:39:40.483691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3454
17.5%
동 937
 
4.7%
성 864
 
4.4%
북 861
 
4.4%
구 850
 
4.3%
서 848
 
4.3%
특 848
 
4.3%
별 848
 
4.3%
시 848
 
4.3%
울 848
 
4.3%
Other values (82) 8583
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11559
58.4%
Decimal Number 3982
 
20.1%
Space Separator 3454
 
17.5%
Dash Punctuation 780
 
3.9%
Other Punctuation 7
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 937
 
8.1%
성 864
 
7.5%
북 861
 
7.4%
구 850
 
7.4%
서 848
 
7.3%
특 848
 
7.3%
별 848
 
7.3%
시 848
 
7.3%
울 848
 
7.3%
지 826
 
7.1%
Other values (64) 2981
25.8%
Decimal Number
ValueCountFrequency (%)
1 774
19.4%
2 546
13.7%
3 479
12.0%
6 361
9.1%
0 344
8.6%
5 338
8.5%
4 326
8.2%
7 309
 
7.8%
8 276
 
6.9%
9 229
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
. 3
42.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
3454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 780
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11559
58.4%
Common 8227
41.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 937
 
8.1%
성 864
 
7.5%
북 861
 
7.4%
구 850
 
7.4%
서 848
 
7.3%
특 848
 
7.3%
별 848
 
7.3%
시 848
 
7.3%
울 848
 
7.3%
지 826
 
7.1%
Other values (64) 2981
25.8%
Common
ValueCountFrequency (%)
3454
42.0%
- 780
 
9.5%
1 774
 
9.4%
2 546
 
6.6%
3 479
 
5.8%
6 361
 
4.4%
0 344
 
4.2%
5 338
 
4.1%
4 326
 
4.0%
7 309
 
3.8%
Other values (6) 516
 
6.3%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11559
58.4%
ASCII 8230
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3454
42.0%
- 780
 
9.5%
1 774
 
9.4%
2 546
 
6.6%
3 479
 
5.8%
6 361
 
4.4%
0 344
 
4.2%
5 338
 
4.1%
4 326
 
4.0%
7 309
 
3.8%
Other values (8) 519
 
6.3%
Hangul
ValueCountFrequency (%)
동 937
 
8.1%
성 864
 
7.5%
북 861
 
7.4%
구 850
 
7.4%
서 848
 
7.3%
특 848
 
7.3%
별 848
 
7.3%
시 848
 
7.3%
울 848
 
7.3%
지 826
 
7.1%
Other values (64) 2981
25.8%

도로명주소
Text

MISSING 

Distinct540
Distinct (%)82.8%
Missing196
Missing (%)23.1%
Memory size6.8 KiB
2024-05-11T14:39:40.886979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length26.723926
Min length22

Characters and Unicode

Total characters17424
Distinct characters113
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique444 ?
Unique (%)68.1%

Sample

1st row서울특별시 성북구 돌곶이로25길 85 (장위동)
2nd row서울특별시 성북구 장월로 171 (장위동)
3rd row서울특별시 성북구 한천로 578 (석관동)
4th row서울특별시 성북구 한천로76길 23 (석관동)
5th row서울특별시 성북구 돌곶이로8길 15 (석관동)
ValueCountFrequency (%)
서울특별시 652
19.9%
성북구 652
19.9%
장위동 154
 
4.7%
정릉동 84
 
2.6%
하월곡동 69
 
2.1%
석관동 63
 
1.9%
종암동 45
 
1.4%
장위로 32
 
1.0%
길음동 29
 
0.9%
돌곶이로 28
 
0.9%
Other values (518) 1470
44.8%
2024-05-11T14:39:41.564599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3245
18.6%
동 797
 
4.6%
북 678
 
3.9%
성 673
 
3.9%
서 662
 
3.8%
( 653
 
3.7%
구 653
 
3.7%
) 653
 
3.7%
시 652
 
3.7%
울 652
 
3.7%
Other values (103) 8106
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10268
58.9%
Space Separator 3245
 
18.6%
Decimal Number 2474
 
14.2%
Open Punctuation 653
 
3.7%
Close Punctuation 653
 
3.7%
Dash Punctuation 90
 
0.5%
Other Punctuation 39
 
0.2%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 797
 
7.8%
북 678
 
6.6%
성 673
 
6.6%
서 662
 
6.4%
구 653
 
6.4%
시 652
 
6.3%
울 652
 
6.3%
별 652
 
6.3%
특 652
 
6.3%
로 647
 
6.3%
Other values (85) 3550
34.6%
Decimal Number
ValueCountFrequency (%)
1 574
23.2%
2 407
16.5%
3 284
11.5%
4 258
10.4%
5 205
 
8.3%
6 177
 
7.2%
7 161
 
6.5%
0 153
 
6.2%
8 141
 
5.7%
9 114
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 38
97.4%
. 1
 
2.6%
Space Separator
ValueCountFrequency (%)
3245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 653
100.0%
Close Punctuation
ValueCountFrequency (%)
) 653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10268
58.9%
Common 7155
41.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 797
 
7.8%
북 678
 
6.6%
성 673
 
6.6%
서 662
 
6.4%
구 653
 
6.4%
시 652
 
6.3%
울 652
 
6.3%
별 652
 
6.3%
특 652
 
6.3%
로 647
 
6.3%
Other values (85) 3550
34.6%
Common
ValueCountFrequency (%)
3245
45.4%
( 653
 
9.1%
) 653
 
9.1%
1 574
 
8.0%
2 407
 
5.7%
3 284
 
4.0%
4 258
 
3.6%
5 205
 
2.9%
6 177
 
2.5%
7 161
 
2.3%
Other values (7) 538
 
7.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10268
58.9%
ASCII 7156
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3245
45.3%
( 653
 
9.1%
) 653
 
9.1%
1 574
 
8.0%
2 407
 
5.7%
3 284
 
4.0%
4 258
 
3.6%
5 205
 
2.9%
6 177
 
2.5%
7 161
 
2.2%
Other values (8) 539
 
7.5%
Hangul
ValueCountFrequency (%)
동 797
 
7.8%
북 678
 
6.6%
성 673
 
6.6%
서 662
 
6.4%
구 653
 
6.4%
시 652
 
6.3%
울 652
 
6.3%
별 652
 
6.3%
특 652
 
6.3%
로 647
 
6.3%
Other values (85) 3550
34.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing839
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean17629.444
Minimum2709
Maximum136051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-05-11T14:39:41.778802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2709
5-th percentile2744.2
Q12842
median2855
Q32855
95-th percentile82773
Maximum136051
Range133342
Interquartile range (IQR)13

Descriptive statistics

Standard deviation44408.109
Coefficient of variation (CV)2.5189738
Kurtosis8.9999697
Mean17629.444
Median Absolute Deviation (MAD)10
Skewness2.9999932
Sum158665
Variance1.9720802 × 109
MonotonicityNot monotonic
2024-05-11T14:39:41.992373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2855 3
 
0.4%
136051 1
 
0.1%
2845 1
 
0.1%
2842 1
 
0.1%
2709 1
 
0.1%
2856 1
 
0.1%
2797 1
 
0.1%
(Missing) 839
98.9%
ValueCountFrequency (%)
2709 1
 
0.1%
2797 1
 
0.1%
2842 1
 
0.1%
2845 1
 
0.1%
2855 3
0.4%
2856 1
 
0.1%
136051 1
 
0.1%
ValueCountFrequency (%)
136051 1
 
0.1%
2856 1
 
0.1%
2855 3
0.4%
2845 1
 
0.1%
2842 1
 
0.1%
2797 1
 
0.1%
2709 1
 
0.1%

사업장명
Text

Distinct709
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-05-11T14:39:42.392934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length15
Mean length5.2228774
Min length1

Characters and Unicode

Total characters4429
Distinct characters434
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique611 ?
Unique (%)72.1%

Sample

1st row대동
2nd row광운
3rd row팡팡
4th row종점
5th row우주
ValueCountFrequency (%)
비디오 74
 
7.2%
영상마을 12
 
1.2%
게임월드 8
 
0.8%
영화마을 8
 
0.8%
우성비디오 6
 
0.6%
게임랜드 5
 
0.5%
팡팡 4
 
0.4%
둘리 4
 
0.4%
게임장 4
 
0.4%
게임천국 4
 
0.4%
Other values (751) 900
87.5%
2024-05-11T14:39:43.087370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 331
 
7.5%
비 286
 
6.5%
디 286
 
6.5%
181
 
4.1%
임 120
 
2.7%
게 120
 
2.7%
드 107
 
2.4%
마 73
 
1.6%
스 71
 
1.6%
영 70
 
1.6%
Other values (424) 2784
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4008
90.5%
Space Separator 181
 
4.1%
Uppercase Letter 64
 
1.4%
Decimal Number 57
 
1.3%
Close Punctuation 40
 
0.9%
Open Punctuation 40
 
0.9%
Lowercase Letter 27
 
0.6%
Other Punctuation 10
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 331
 
8.3%
비 286
 
7.1%
디 286
 
7.1%
임 120
 
3.0%
게 120
 
3.0%
드 107
 
2.7%
마 73
 
1.8%
스 71
 
1.8%
영 70
 
1.7%
랜 59
 
1.5%
Other values (375) 2485
62.0%
Uppercase Letter
ValueCountFrequency (%)
M 9
14.1%
C 8
12.5%
P 8
12.5%
A 6
9.4%
K 5
7.8%
S 5
7.8%
L 4
 
6.2%
B 3
 
4.7%
G 3
 
4.7%
N 3
 
4.7%
Other values (8) 10
15.6%
Lowercase Letter
ValueCountFrequency (%)
r 3
11.1%
n 3
11.1%
e 3
11.1%
o 3
11.1%
y 2
 
7.4%
a 2
 
7.4%
c 2
 
7.4%
m 2
 
7.4%
p 1
 
3.7%
g 1
 
3.7%
Other values (5) 5
18.5%
Decimal Number
ValueCountFrequency (%)
2 16
28.1%
8 10
17.5%
0 8
14.0%
1 8
14.0%
5 5
 
8.8%
4 4
 
7.0%
9 4
 
7.0%
7 2
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 5
50.0%
. 4
40.0%
/ 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4003
90.4%
Common 330
 
7.5%
Latin 91
 
2.1%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 331
 
8.3%
비 286
 
7.1%
디 286
 
7.1%
임 120
 
3.0%
게 120
 
3.0%
드 107
 
2.7%
마 73
 
1.8%
스 71
 
1.8%
영 70
 
1.7%
랜 59
 
1.5%
Other values (370) 2480
62.0%
Latin
ValueCountFrequency (%)
M 9
 
9.9%
C 8
 
8.8%
P 8
 
8.8%
A 6
 
6.6%
K 5
 
5.5%
S 5
 
5.5%
L 4
 
4.4%
B 3
 
3.3%
r 3
 
3.3%
G 3
 
3.3%
Other values (23) 37
40.7%
Common
ValueCountFrequency (%)
181
54.8%
) 40
 
12.1%
( 40
 
12.1%
2 16
 
4.8%
8 10
 
3.0%
0 8
 
2.4%
1 8
 
2.4%
5 5
 
1.5%
& 5
 
1.5%
4 4
 
1.2%
Other values (6) 13
 
3.9%
Han
ValueCountFrequency (%)
法 1
20.0%
華 1
20.0%
經 1
20.0%
藝 1
20.0%
文 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4003
90.4%
ASCII 421
 
9.5%
CJK 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 331
 
8.3%
비 286
 
7.1%
디 286
 
7.1%
임 120
 
3.0%
게 120
 
3.0%
드 107
 
2.7%
마 73
 
1.8%
스 71
 
1.8%
영 70
 
1.7%
랜 59
 
1.5%
Other values (370) 2480
62.0%
ASCII
ValueCountFrequency (%)
181
43.0%
) 40
 
9.5%
( 40
 
9.5%
2 16
 
3.8%
8 10
 
2.4%
M 9
 
2.1%
0 8
 
1.9%
1 8
 
1.9%
C 8
 
1.9%
P 8
 
1.9%
Other values (39) 93
22.1%
CJK
ValueCountFrequency (%)
法 1
20.0%
華 1
20.0%
經 1
20.0%
藝 1
20.0%
文 1
20.0%

최종수정일자
Date

Distinct435
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2003-04-18 14:23:41
Maximum2023-09-22 16:00:51
2024-05-11T14:39:43.329701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:43.575600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
I
821 
U
 
26
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 821
96.8%
U 26
 
3.1%
D 1
 
0.1%

Length

2024-05-11T14:39:43.807636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:43.980385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 821
96.8%
u 26
 
3.1%
d 1
 
0.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2018-08-31 23:59:59.0
819 
2022-12-07 21:00:00.0
 
23
2022-12-05 23:05:00.0
 
1
2019-11-03 02:40:00.0
 
1
2020-11-01 02:40:00.0
 
1
Other values (3)
 
3

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)0.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 819
96.6%
2022-12-07 21:00:00.0 23
 
2.7%
2022-12-05 23:05:00.0 1
 
0.1%
2019-11-03 02:40:00.0 1
 
0.1%
2020-11-01 02:40:00.0 1
 
0.1%
2021-12-05 23:05:00.0 1
 
0.1%
2022-12-08 22:04:00.0 1
 
0.1%
2022-12-04 22:08:00.0 1
 
0.1%

Length

2024-05-11T14:39:44.181441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:44.400548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 819
48.3%
23:59:59.0 819
48.3%
2022-12-07 23
 
1.4%
21:00:00.0 23
 
1.4%
23:05:00.0 2
 
0.1%
02:40:00.0 2
 
0.1%
2022-12-05 1
 
0.1%
2019-11-03 1
 
0.1%
2020-11-01 1
 
0.1%
2021-12-05 1
 
0.1%
Other values (4) 4
 
0.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct566
Distinct (%)80.1%
Missing141
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean202880.35
Minimum199367.36
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-05-11T14:39:44.712832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199367.36
5-th percentile200584.67
Q1201486.31
median202887.95
Q3204425.16
95-th percentile205418.73
Maximum205996.72
Range6629.3561
Interquartile range (IQR)2938.8592

Descriptive statistics

Standard deviation1619.4528
Coefficient of variation (CV)0.007982305
Kurtosis-1.1996999
Mean202880.35
Median Absolute Deviation (MAD)1428.3257
Skewness0.085620916
Sum1.434364 × 108
Variance2622627.4
MonotonicityNot monotonic
2024-05-11T14:39:44.993179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205996.717928956 5
 
0.6%
201460.28029927 4
 
0.5%
201774.213889695 3
 
0.4%
203926.870812668 3
 
0.4%
204127.666353297 3
 
0.4%
204009.329054854 3
 
0.4%
202808.414021992 3
 
0.4%
203943.300604241 3
 
0.4%
200364.670864881 3
 
0.4%
201394.61018385 3
 
0.4%
Other values (556) 674
79.5%
(Missing) 141
 
16.6%
ValueCountFrequency (%)
199367.361842866 1
0.1%
199430.39047605 1
0.1%
199578.087266761 1
0.1%
199586.316865115 1
0.1%
199796.822697884 1
0.1%
199887.379548552 2
0.2%
199896.088093789 1
0.1%
199905.961087836 1
0.1%
199933.382023567 1
0.1%
200156.489989688 2
0.2%
ValueCountFrequency (%)
205996.717928956 5
0.6%
205735.693170701 1
 
0.1%
205693.067308638 1
 
0.1%
205682.587472243 1
 
0.1%
205678.578340044 1
 
0.1%
205669.62299598 2
 
0.2%
205663.651941359 1
 
0.1%
205651.803155309 1
 
0.1%
205638.858277791 1
 
0.1%
205632.727351515 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct566
Distinct (%)80.1%
Missing141
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean455674.38
Minimum452992.51
Maximum457664.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-05-11T14:39:45.270126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452992.51
5-th percentile453570.54
Q1454719.44
median455949.89
Q3456612.98
95-th percentile457243.02
Maximum457664.96
Range4672.4481
Interquartile range (IQR)1893.5398

Descriptive statistics

Standard deviation1175.1395
Coefficient of variation (CV)0.0025789018
Kurtosis-0.79835338
Mean455674.38
Median Absolute Deviation (MAD)803.5954
Skewness-0.5131178
Sum3.2216178 × 108
Variance1380952.7
MonotonicityNot monotonic
2024-05-11T14:39:45.521583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456704.522324447 5
 
0.6%
454450.530981748 4
 
0.5%
453058.695646493 3
 
0.4%
457455.165676901 3
 
0.4%
456178.261862469 3
 
0.4%
456851.35849813 3
 
0.4%
456003.197707024 3
 
0.4%
455979.454991546 3
 
0.4%
456310.306508321 3
 
0.4%
454015.214821397 3
 
0.4%
Other values (556) 674
79.5%
(Missing) 141
 
16.6%
ValueCountFrequency (%)
452992.513827755 1
 
0.1%
452998.923564259 1
 
0.1%
453026.290638246 1
 
0.1%
453058.695646493 3
0.4%
453060.946220955 1
 
0.1%
453063.117493959 1
 
0.1%
453074.404741081 1
 
0.1%
453083.637994 2
0.2%
453114.012943618 1
 
0.1%
453114.490262404 1
 
0.1%
ValueCountFrequency (%)
457664.961911112 1
 
0.1%
457664.624149181 1
 
0.1%
457648.464999566 2
0.2%
457641.200097407 1
 
0.1%
457561.490871873 2
0.2%
457459.268284679 1
 
0.1%
457455.165676901 3
0.4%
457453.110534914 1
 
0.1%
457451.188987458 1
 
0.1%
457441.841941987 1
 
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
복합유통게임제공업
821 
<NA>
 
27

Length

Max length9
Median length9
Mean length8.8408019
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 821
96.8%
<NA> 27
 
3.2%

Length

2024-05-11T14:39:45.741291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:46.278999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 821
96.8%
na 27
 
3.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
유통관련업
821 
<NA>
 
27

Length

Max length5
Median length5
Mean length4.9681604
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 821
96.8%
<NA> 27
 
3.2%

Length

2024-05-11T14:39:46.465255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:46.657869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 821
96.8%
na 27
 
3.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)2.9%
Missing536
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean0.34294872
Minimum0
Maximum8
Zeros289
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-05-11T14:39:46.826934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2984092
Coefficient of variation (CV)3.7860157
Kurtosis14.887524
Mean0.34294872
Median Absolute Deviation (MAD)0
Skewness3.9192708
Sum107
Variance1.6858665
MonotonicityNot monotonic
2024-05-11T14:39:47.025898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 289
34.1%
4 9
 
1.1%
6 3
 
0.4%
7 3
 
0.4%
5 3
 
0.4%
3 2
 
0.2%
2 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%
(Missing) 536
63.2%
ValueCountFrequency (%)
0 289
34.1%
1 1
 
0.1%
2 1
 
0.1%
3 2
 
0.2%
4 9
 
1.1%
5 3
 
0.4%
6 3
 
0.4%
7 3
 
0.4%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
7 3
 
0.4%
6 3
 
0.4%
5 3
 
0.4%
4 9
 
1.1%
3 2
 
0.2%
2 1
 
0.1%
1 1
 
0.1%
0 289
34.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
645 
주택가주변
167 
기타
 
27
아파트지역
 
5
유흥업소밀집지역
 
3

Length

Max length8
Median length4
Mean length4.1580189
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 645
76.1%
주택가주변 167
 
19.7%
기타 27
 
3.2%
아파트지역 5
 
0.6%
유흥업소밀집지역 3
 
0.4%
학교정화(상대) 1
 
0.1%

Length

2024-05-11T14:39:47.242087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:47.489279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
76.1%
주택가주변 167
 
19.7%
기타 27
 
3.2%
아파트지역 5
 
0.6%
유흥업소밀집지역 3
 
0.4%
학교정화(상대 1
 
0.1%

제작취급품목내용
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
778 
--
 
56
비디오
 
4
노래연습장
 
2
88
 
1
Other values (7)
 
7

Length

Max length27
Median length4
Mean length3.9410377
Min length2

Unique

Unique8 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 778
91.7%
-- 56
 
6.6%
비디오 4
 
0.5%
노래연습장 2
 
0.2%
88 1
 
0.1%
cd뱅크 1
 
0.1%
1개의 기기에서 게임,노래, 영화감상등을 제공 1
 
0.1%
인터넷컴퓨터게임시설제공업 1
 
0.1%
노래.PC.게임.영화 1
 
0.1%
복합유통게임제공업 1
 
0.1%
Other values (2) 2
 
0.2%

Length

2024-05-11T14:39:47.715755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 778
91.2%
56
 
6.6%
비디오 4
 
0.5%
노래연습장 2
 
0.2%
제공 1
 
0.1%
식품접객업 1
 
0.1%
휴게음식점 1
 
0.1%
복합유통게임제공업 1
 
0.1%
노래.pc.게임.영화 1
 
0.1%
인터넷컴퓨터게임시설제공업 1
 
0.1%
Other values (7) 7
 
0.8%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct23
Distinct (%)2.8%
Missing40
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean20.232785
Minimum0
Maximum9596.27
Zeros785
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-05-11T14:39:48.037983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9596.27
Range9596.27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation343.43655
Coefficient of variation (CV)16.97426
Kurtosis751.75763
Mean20.232785
Median Absolute Deviation (MAD)0
Skewness26.998276
Sum16348.09
Variance117948.66
MonotonicityNot monotonic
2024-05-11T14:39:48.250962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 785
92.6%
242.85 2
 
0.2%
1012.39 1
 
0.1%
981.29 1
 
0.1%
168.6 1
 
0.1%
355.18 1
 
0.1%
377.4 1
 
0.1%
233.38 1
 
0.1%
164.0 1
 
0.1%
317.28 1
 
0.1%
Other values (13) 13
 
1.5%
(Missing) 40
 
4.7%
ValueCountFrequency (%)
0.0 785
92.6%
12.0 1
 
0.1%
15.0 1
 
0.1%
40.0 1
 
0.1%
127.4 1
 
0.1%
164.0 1
 
0.1%
168.6 1
 
0.1%
175.59 1
 
0.1%
233.38 1
 
0.1%
242.85 2
 
0.2%
ValueCountFrequency (%)
9596.27 1
0.1%
1012.39 1
0.1%
981.29 1
0.1%
492.24 1
0.1%
398.65 1
0.1%
377.4 1
0.1%
355.18 1
0.1%
317.28 1
0.1%
306.0 1
0.1%
299.44 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.2%
Missing536
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean0.26282051
Minimum0
Maximum7
Zeros289
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2024-05-11T14:39:48.436845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0276698
Coefficient of variation (CV)3.9101582
Kurtosis18.671512
Mean0.26282051
Median Absolute Deviation (MAD)0
Skewness4.2679827
Sum82
Variance1.0561052
MonotonicityNot monotonic
2024-05-11T14:39:48.620987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 289
34.1%
3 12
 
1.4%
1 3
 
0.4%
6 3
 
0.4%
5 2
 
0.2%
4 2
 
0.2%
7 1
 
0.1%
(Missing) 536
63.2%
ValueCountFrequency (%)
0 289
34.1%
1 3
 
0.4%
3 12
 
1.4%
4 2
 
0.2%
5 2
 
0.2%
6 3
 
0.4%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 3
 
0.4%
5 2
 
0.2%
4 2
 
0.2%
3 12
 
1.4%
1 3
 
0.4%
0 289
34.1%

지하층수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
539 
0
290 
1
 
19

Length

Max length4
Median length4
Mean length2.9068396
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> 539
63.6%
0 290
34.2%
1 19
 
2.2%

Length

2024-05-11T14:39:48.841322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:49.045670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 539
63.6%
0 290
34.2%
1 19
 
2.2%

건물용도명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
582 
근린생활시설
262 
연립주택
 
4

Length

Max length6
Median length4
Mean length4.6179245
Min length4

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> 582
68.6%
근린생활시설 262
30.9%
연립주택 4
 
0.5%

Length

2024-05-11T14:39:49.245312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:49.427917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 582
68.6%
근린생활시설 262
30.9%
연립주택 4
 
0.5%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
847 
42
 
1

Length

Max length4
Median length4
Mean length3.9976415
Min length2

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> 847
99.9%
42 1
 
0.1%

Length

2024-05-11T14:39:49.621634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:49.821786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 847
99.9%
42 1
 
0.1%

기존게임업외업종명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing845
Missing (%)99.6%
Memory size6.8 KiB
2024-05-11T14:39:50.073319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length14.333333
Min length5

Characters and Unicode

Total characters43
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row1개의 기기에서 게임,노래, 영화감상등을 제공
2nd row인터넷컴퓨터게임시설제공업
3rd row식품접객업
ValueCountFrequency (%)
1개의 1
14.3%
기기에서 1
14.3%
게임,노래 1
14.3%
영화감상등을 1
14.3%
제공 1
14.3%
인터넷컴퓨터게임시설제공업 1
14.3%
식품접객업 1
14.3%
2024-05-11T14:39:50.569495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
9.3%
, 2
 
4.7%
게 2
 
4.7%
터 2
 
4.7%
업 2
 
4.7%
공 2
 
4.7%
임 2
 
4.7%
제 2
 
4.7%
기 2
 
4.7%
식 1
 
2.3%
Other values (22) 22
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36
83.7%
Space Separator 4
 
9.3%
Other Punctuation 2
 
4.7%
Decimal Number 1
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 2
 
5.6%
터 2
 
5.6%
업 2
 
5.6%
공 2
 
5.6%
임 2
 
5.6%
제 2
 
5.6%
기 2
 
5.6%
식 1
 
2.8%
품 1
 
2.8%
설 1
 
2.8%
Other values (19) 19
52.8%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36
83.7%
Common 7
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 2
 
5.6%
터 2
 
5.6%
업 2
 
5.6%
공 2
 
5.6%
임 2
 
5.6%
제 2
 
5.6%
기 2
 
5.6%
식 1
 
2.8%
품 1
 
2.8%
설 1
 
2.8%
Other values (19) 19
52.8%
Common
ValueCountFrequency (%)
4
57.1%
, 2
28.6%
1 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36
83.7%
ASCII 7
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
57.1%
, 2
28.6%
1 1
 
14.3%
Hangul
ValueCountFrequency (%)
게 2
 
5.6%
터 2
 
5.6%
업 2
 
5.6%
공 2
 
5.6%
임 2
 
5.6%
제 2
 
5.6%
기 2
 
5.6%
식 1
 
2.8%
품 1
 
2.8%
설 1
 
2.8%
Other values (19) 19
52.8%

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
839 
전체이용가
 
9

Length

Max length5
Median length4
Mean length4.0106132
Min length4

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> 839
98.9%
전체이용가 9
 
1.1%

Length

2024-05-11T14:39:50.767410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:50.932711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 839
98.9%
전체이용가 9
 
1.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing848
Missing (%)100.0%
Memory size7.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
<NA>
821 
근린상업지역
 
21
일반주거지역
 
2
일반상업지역
 
2
상업지역
 
1

Length

Max length6
Median length4
Mean length4.0601415
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 821
96.8%
근린상업지역 21
 
2.5%
일반주거지역 2
 
0.2%
일반상업지역 2
 
0.2%
상업지역 1
 
0.1%
준주거지역 1
 
0.1%

Length

2024-05-11T14:39:51.174727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:51.421631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 821
96.8%
근린상업지역 21
 
2.5%
일반주거지역 2
 
0.2%
일반상업지역 2
 
0.2%
상업지역 1
 
0.1%
준주거지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF224103198500000219850410<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0000-0000<NA>136828서울특별시 성북구 장위동 65-169번지서울특별시 성북구 돌곶이로25길 85 (장위동)<NA>대동2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>204586.365325456312.848912복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFF224103198500000319850410<NA>3폐업03폐업20011204<NA><NA><NA>0000-0000<NA>136140서울특별시 성북구 장위동 154-9번지서울특별시 성북구 장월로 171 (장위동)<NA>광운2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>204627.980553457459.268285복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000CDFF224103198500000419850410<NA>3폐업03폐업19990901<NA><NA><NA>0000-0000<NA>136817서울특별시 성북구 석관동 182-44번지서울특별시 성북구 한천로 578 (석관동)<NA>팡팡2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>205466.796135456550.406933복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33070000CDFF224103198500000519850514<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>966-0342<NA>136817서울특별시 성북구 석관동 126-1번지서울특별시 성북구 한천로76길 23 (석관동)<NA>종점2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>205590.217322456571.505198복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFF224103198500000619850530<NA>3폐업03폐업20011221<NA><NA><NA>0000-0000<NA>136815서울특별시 성북구 석관동 320-40번지서울특별시 성북구 돌곶이로8길 15 (석관동)<NA>우주2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>205418.551876456082.836916복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFF224103198500000719850605<NA>4취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>0000-0000<NA><NA>서울특별시 성북구 하월곡동 18-50번지서울특별시 성북구 장월로1길 115 (하월곡동)<NA>8.82010-06-16 14:31:42I2018-08-31 23:59:59.0<NA>203710.639074455760.320415복합유통게임제공업유통관련업<NA>주택가주변880.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFF224103198500000819850612<NA>4취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>913-6889<NA><NA>서울특별시 성북구 장위동 201-3번지서울특별시 성북구 장월로 155 (장위동)<NA>쥬니어2010-06-16 14:32:42I2018-08-31 23:59:59.0<NA>204499.161621457351.738717복합유통게임제공업유통관련업0주택가주변--0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFF224103198500000919850612<NA>3폐업03폐업20010509<NA><NA><NA>0000-0000<NA>136826서울특별시 성북구 장위동 121-7번지서울특별시 성북구 한천로 662 (장위동)<NA>제일2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>204946.995557457193.973839복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFF224103198500001019850705<NA>3폐업03폐업20010529<NA><NA><NA>942-0861<NA>136836서울특별시 성북구 장위동 231-38번지서울특별시 성북구 장위로 42-1 (장위동)<NA>오뚜기오락실2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>203575.575583456866.19694복합유통게임제공업유통관련업0주택가주변<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFF224103198500001119850705<NA>3폐업03폐업20000427<NA><NA><NA>0000-0000<NA>136815서울특별시 성북구 석관동 326-1번지서울특별시 성북구 돌곶이로8길 28 (석관동)<NA>스마일2003-04-18 14:23:41I2018-08-31 23:59:59.0<NA>205476.328063456055.273624복합유통게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
8383070000CDFF224103200900000220091216<NA>3폐업03폐업20151016<NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 102-28번지 2,3층서울특별시 성북구 인촌로24길 24 (안암동5가)2855엠플러스 멀티방2015-10-16 17:56:17I2018-08-31 23:59:59.0<NA>202510.826645453649.862742복합유통게임제공업유통관련업4학교정화(상대)노래연습장253.1631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
8393070000CDFF224103201000000120100120<NA>3폐업03폐업20111027<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 72-2번지 2,3층서울특별시 성북구 동소문로20길 37-6 (동선동1가,2,3층)<NA>파티파티멀티방2011-10-28 17:26:11I2018-08-31 23:59:59.0<NA>201456.18833454281.957141복합유통게임제공업유통관련업8기타노래연습장317.2871근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준주거지역
8403070000CDFF224103201000000220100930<NA>3폐업03폐업20180614<NA><NA><NA>953-8400<NA><NA>서울특별시 성북구 안암동5가 102-77번지 3층서울특별시 성북구 인촌로24길 8 (안암동5가)2855노래야노래야 코인 카페룸2018-08-20 15:07:22I2018-08-31 23:59:59.0<NA>202508.471814453723.01544복합유통게임제공업유통관련업<NA><NA>복합유통게임제공업164.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8413070000CDFF224103201100000120110916<NA>3폐업03폐업20191101<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동1가 3-2번지서울특별시 성북구 동소문로20다길 17 (동선동1가)2845스마일멀티방2019-11-01 17:49:03U2019-11-03 02:40:00.0<NA>201492.625694454406.677223복합유통게임제공업유통관련업7<NA><NA>233.3861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8423070000CDFF224103201200000120121101<NA>1영업/정상13영업중<NA><NA><NA><NA>923-1023<NA><NA>서울특별시 성북구 안암동5가 101-17서울특별시 성북구 개운사길 11, 2,3층 (안암동5가)2842포그네 PC2020-10-30 14:46:03U2020-11-01 02:40:00.0<NA>202502.605415453851.311878복합유통게임제공업유통관련업5<NA>휴게음식점377.4<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>식품접객업전체이용가<NA><NA><NA><NA>
8433070000CDFF224103201300000120130814<NA>3폐업03폐업20160825<NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 146-7번지서울특별시 성북구 인촌로22길 5 (안암동5가)<NA>라임PC & cafe2016-08-26 13:55:27I2018-08-31 23:59:59.0<NA>202488.486133453735.758284복합유통게임제공업유통관련업<NA><NA><NA>355.18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8443070000CDFF224103201700000120170724<NA>3폐업03폐업20180706<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 400-25번지서울특별시 성북구 보국문로 45, 1~2층 (정릉동)2709one 멀티게임장2018-07-09 09:00:43I2018-08-31 23:59:59.0<NA>200793.275882456246.803454복합유통게임제공업유통관련업3<NA>식품접객업 휴게음식점(제2017-0050614호)168.631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
8453070000CDFF224103202200000120220613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 102-57서울특별시 성북구 고려대로24가길 1, 지층 (안암동5가)2856Cherry on Playground(체리온플레이그라운드)2022-06-13 09:16:19I2021-12-05 23:05:00.0<NA>202538.091148453671.335102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8463070000CDFF22410320220000022022-08-30<NA>3폐업03폐업2023-09-22<NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 3-1237서울특별시 성북구 종암로 120, 지층 (종암동)2797헬리우스PC&코인노래연습장2023-09-22 16:00:51U2022-12-08 22:04:00.0<NA>202959.01571455400.037874<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8473070000CDFF22410320230000012023-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동5가 102-36서울특별시 성북구 고려대로24길 44 (안암동5가)2855아이센스리그 PC방2023-05-26 17:18:23I2022-12-04 22:08:00.0<NA>202515.277465453544.429633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>