Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells695
Missing cells (%)51.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory489.5 B

Variable types

Categorical15
Text8
DateTime4
Unsupported23
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16766/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
소재지우편번호 is highly imbalanced (75.0%)Imbalance
총층수 is highly imbalanced (68.6%)Imbalance
지상층수 is highly imbalanced (62.9%)Imbalance
지하층수 is highly imbalanced (50.5%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 9 (37.5%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 17 (70.8%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
도로명우편번호 has 8 (33.3%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
주변환경명 has 23 (95.8%) missing valuesMissing
시설면적 has 7 (29.2%) missing valuesMissing
통로너비 has 24 (100.0%) missing valuesMissing
조명시설조도 has 18 (75.0%) missing valuesMissing
노래방실수 has 24 (100.0%) missing valuesMissing
청소년실수 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
총게임기수 has 18 (75.0%) missing valuesMissing
기존게임업외업종명 has 21 (87.5%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
최초등록시점 has 24 (100.0%) missing valuesMissing
지역구분명 has 22 (91.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 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

Reproduction

Analysis started2024-05-11 06:01:13.028683
Analysis finished2024-05-11 06:01:13.804835
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3240000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 24
100.0%

Length

2024-05-11T15:01:13.940464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:14.092605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:01:14.337900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFF2241032008000001
2nd rowCDFF2241032008000002
3rd rowCDFF2241032008000003
4th rowCDFF2241032009000001
5th rowCDFF2241032010000001
ValueCountFrequency (%)
cdff2241032008000001 1
 
4.2%
cdff2241032008000002 1
 
4.2%
cdff2241032022000001 1
 
4.2%
cdff2241032020000001 1
 
4.2%
cdff2241032018000001 1
 
4.2%
cdff2241032017000004 1
 
4.2%
cdff2241032017000003 1
 
4.2%
cdff2241032017000002 1
 
4.2%
cdff2241032017000001 1
 
4.2%
cdff2241032016000001 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T15:01:14.882764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 177
36.9%
2 86
17.9%
1 55
 
11.5%
F 48
 
10.0%
3 29
 
6.0%
4 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
8 4
 
0.8%
7 4
 
0.8%
Other values (3) 3
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
46.1%
2 86
22.4%
1 55
 
14.3%
3 29
 
7.6%
4 26
 
6.8%
8 4
 
1.0%
7 4
 
1.0%
9 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 177
46.1%
2 86
22.4%
1 55
 
14.3%
3 29
 
7.6%
4 26
 
6.8%
8 4
 
1.0%
7 4
 
1.0%
9 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 177
36.9%
2 86
17.9%
1 55
 
11.5%
F 48
 
10.0%
3 29
 
6.0%
4 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
8 4
 
0.8%
7 4
 
0.8%
Other values (3) 3
 
0.6%

인허가일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2008-05-14 00:00:00
Maximum2022-12-01 00:00:00
2024-05-11T15:01:15.095843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:15.268721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
14 
1
9 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
58.3%
1 9
37.5%
4 1
 
4.2%

Length

2024-05-11T15:01:15.452547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:15.613941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
58.3%
1 9
37.5%
4 1
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
14 
영업/정상
9 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.625
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
58.3%
영업/정상 9
37.5%
취소/말소/만료/정지/중지 1
 
4.2%

Length

2024-05-11T15:01:15.800407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:15.967256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
58.3%
영업/정상 9
37.5%
취소/말소/만료/정지/중지 1
 
4.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
14 
13
9 
35
 
1

Length

Max length2
Median length1
Mean length1.4166667
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
58.3%
13 9
37.5%
35 1
 
4.2%

Length

2024-05-11T15:01:16.186365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:16.336680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
58.3%
13 9
37.5%
35 1
 
4.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
14 
영업중
9 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.4583333
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
58.3%
영업중 9
37.5%
직권말소 1
 
4.2%

Length

2024-05-11T15:01:16.511632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:16.677305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
58.3%
영업중 9
37.5%
직권말소 1
 
4.2%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing9
Missing (%)37.5%
Memory size324.0 B
Minimum2010-02-12 00:00:00
Maximum2023-02-27 00:00:00
2024-05-11T15:01:16.816682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:16.990199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing17
Missing (%)70.8%
Memory size324.0 B
2024-05-11T15:01:17.198986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.7142857
Min length8

Characters and Unicode

Total characters61
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

Unique7 ?
Unique (%)100.0%

Sample

1st row519-6091
2nd row476-1260
3rd row474-3537
4th row474-4540
5th row471-6361
ValueCountFrequency (%)
519-6091 1
14.3%
476-1260 1
14.3%
474-3537 1
14.3%
474-4540 1
14.3%
471-6361 1
14.3%
815-3882 1
14.3%
070-8670-0302 1
14.3%
2024-05-11T15:01:17.660485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8
13.1%
0 8
13.1%
4 8
13.1%
7 7
11.5%
1 6
9.8%
6 6
9.8%
3 5
8.2%
5 4
6.6%
8 4
6.6%
2 3
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53
86.9%
Dash Punctuation 8
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
15.1%
4 8
15.1%
7 7
13.2%
1 6
11.3%
6 6
11.3%
3 5
9.4%
5 4
7.5%
8 4
7.5%
2 3
 
5.7%
9 2
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8
13.1%
0 8
13.1%
4 8
13.1%
7 7
11.5%
1 6
9.8%
6 6
9.8%
3 5
8.2%
5 4
6.6%
8 4
6.6%
2 3
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8
13.1%
0 8
13.1%
4 8
13.1%
7 7
11.5%
1 6
9.8%
6 6
9.8%
3 5
8.2%
5 4
6.6%
8 4
6.6%
2 3
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
134867
 
1

Length

Max length6
Median length4
Mean length4.0833333
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row134867
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
134867 1
 
4.2%

Length

2024-05-11T15:01:17.934941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:18.442212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
134867 1
 
4.2%

지번주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:01:18.735595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29.5
Mean length25.208333
Min length18

Characters and Unicode

Total characters605
Distinct characters53
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 명일동 47-1번지 세종빌딩
2nd row서울특별시 강동구 천호동 287-3번지 지층
3rd row서울특별시 강동구 천호동 288-28번지 2층
4th row서울특별시 강동구 천호동 294-21번지
5th row서울특별시 강동구 천호동 453-23번지 3층
ValueCountFrequency (%)
서울특별시 24
20.5%
강동구 24
20.5%
천호동 13
 
11.1%
성내동 4
 
3.4%
지층 3
 
2.6%
3층 2
 
1.7%
길동 2
 
1.7%
675-1번지 2
 
1.7%
강일동 2
 
1.7%
5층 2
 
1.7%
Other values (36) 39
33.3%
2024-05-11T15:01:19.321790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
18.3%
동 48
 
7.9%
강 27
 
4.5%
지 27
 
4.5%
서 24
 
4.0%
특 24
 
4.0%
별 24
 
4.0%
시 24
 
4.0%
구 24
 
4.0%
울 24
 
4.0%
Other values (43) 248
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
57.7%
Decimal Number 121
 
20.0%
Space Separator 111
 
18.3%
Dash Punctuation 22
 
3.6%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
13.8%
강 27
 
7.7%
지 27
 
7.7%
서 24
 
6.9%
특 24
 
6.9%
별 24
 
6.9%
시 24
 
6.9%
구 24
 
6.9%
울 24
 
6.9%
번 20
 
5.7%
Other values (29) 83
23.8%
Decimal Number
ValueCountFrequency (%)
1 22
18.2%
2 22
18.2%
4 15
12.4%
3 15
12.4%
8 12
9.9%
5 12
9.9%
0 11
9.1%
7 6
 
5.0%
6 3
 
2.5%
9 3
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
57.7%
Common 254
42.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
13.8%
강 27
 
7.7%
지 27
 
7.7%
서 24
 
6.9%
특 24
 
6.9%
별 24
 
6.9%
시 24
 
6.9%
구 24
 
6.9%
울 24
 
6.9%
번 20
 
5.7%
Other values (29) 83
23.8%
Common
ValueCountFrequency (%)
111
43.7%
1 22
 
8.7%
2 22
 
8.7%
- 22
 
8.7%
4 15
 
5.9%
3 15
 
5.9%
8 12
 
4.7%
5 12
 
4.7%
0 11
 
4.3%
7 6
 
2.4%
Other values (2) 6
 
2.4%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
57.7%
ASCII 256
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
43.4%
1 22
 
8.6%
2 22
 
8.6%
- 22
 
8.6%
4 15
 
5.9%
3 15
 
5.9%
8 12
 
4.7%
5 12
 
4.7%
0 11
 
4.3%
7 6
 
2.3%
Other values (4) 8
 
3.1%
Hangul
ValueCountFrequency (%)
동 48
13.8%
강 27
 
7.7%
지 27
 
7.7%
서 24
 
6.9%
특 24
 
6.9%
별 24
 
6.9%
시 24
 
6.9%
구 24
 
6.9%
울 24
 
6.9%
번 20
 
5.7%
Other values (29) 83
23.8%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:01:19.721135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length31.958333
Min length25

Characters and Unicode

Total characters767
Distinct characters63
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 동남로75길 29, 세종빌딩 지하1층 (명일동)
2nd row서울특별시 강동구 상암로 44 (천호동,지층)
3rd row서울특별시 강동구 상암로12길 9 (천호동,2층)
4th row서울특별시 강동구 구천면로 293 (천호동)
5th row서울특별시 강동구 천호대로157길 24 (천호동,3층)
ValueCountFrequency (%)
서울특별시 24
 
16.2%
강동구 24
 
16.2%
천호동 9
 
6.1%
지하1층 5
 
3.4%
올림픽로 4
 
2.7%
천호대로157길 3
 
2.0%
5층 3
 
2.0%
성내동 3
 
2.0%
2층 3
 
2.0%
아리수로93길 2
 
1.4%
Other values (57) 68
45.9%
2024-05-11T15:01:20.259086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
17.1%
동 50
 
6.5%
, 28
 
3.7%
강 28
 
3.7%
1 28
 
3.7%
구 25
 
3.3%
호 24
 
3.1%
울 24
 
3.1%
) 24
 
3.1%
( 24
 
3.1%
Other values (53) 381
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
57.5%
Space Separator 131
 
17.1%
Decimal Number 117
 
15.3%
Other Punctuation 28
 
3.7%
Close Punctuation 24
 
3.1%
Open Punctuation 24
 
3.1%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
11.3%
강 28
 
6.3%
구 25
 
5.7%
호 24
 
5.4%
울 24
 
5.4%
서 24
 
5.4%
특 24
 
5.4%
별 24
 
5.4%
시 24
 
5.4%
로 22
 
5.0%
Other values (37) 172
39.0%
Decimal Number
ValueCountFrequency (%)
1 28
23.9%
2 20
17.1%
7 14
12.0%
3 11
 
9.4%
5 9
 
7.7%
0 9
 
7.7%
9 9
 
7.7%
6 7
 
6.0%
8 5
 
4.3%
4 5
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
57.5%
Common 324
42.2%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
11.3%
강 28
 
6.3%
구 25
 
5.7%
호 24
 
5.4%
울 24
 
5.4%
서 24
 
5.4%
특 24
 
5.4%
별 24
 
5.4%
시 24
 
5.4%
로 22
 
5.0%
Other values (37) 172
39.0%
Common
ValueCountFrequency (%)
131
40.4%
, 28
 
8.6%
1 28
 
8.6%
) 24
 
7.4%
( 24
 
7.4%
2 20
 
6.2%
7 14
 
4.3%
3 11
 
3.4%
5 9
 
2.8%
0 9
 
2.8%
Other values (4) 26
 
8.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
57.5%
ASCII 326
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
40.2%
, 28
 
8.6%
1 28
 
8.6%
) 24
 
7.4%
( 24
 
7.4%
2 20
 
6.1%
7 14
 
4.3%
3 11
 
3.4%
5 9
 
2.8%
0 9
 
2.8%
Other values (6) 28
 
8.6%
Hangul
ValueCountFrequency (%)
동 50
 
11.3%
강 28
 
6.3%
구 25
 
5.7%
호 24
 
5.4%
울 24
 
5.4%
서 24
 
5.4%
특 24
 
5.4%
별 24
 
5.4%
시 24
 
5.4%
로 22
 
5.0%
Other values (37) 172
39.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean21518
Minimum5211
Maximum134874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:01:20.417770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5250
Q15314
median5329
Q35389
95-th percentile134868.75
Maximum134874
Range129663
Interquartile range (IQR)75

Descriptive statistics

Standard deviation44248.314
Coefficient of variation (CV)2.0563395
Kurtosis4.8979385
Mean21518
Median Absolute Deviation (MAD)41
Skewness2.5094508
Sum344288
Variance1.9579133 × 109
MonotonicityNot monotonic
2024-05-11T15:01:20.600344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5318 2
 
8.3%
5329 2
 
8.3%
5269 1
 
4.2%
134867 1
 
4.2%
5327 1
 
4.2%
5408 1
 
4.2%
134874 1
 
4.2%
5335 1
 
4.2%
5263 1
 
4.2%
5211 1
 
4.2%
Other values (4) 4
16.7%
(Missing) 8
33.3%
ValueCountFrequency (%)
5211 1
4.2%
5263 1
4.2%
5269 1
4.2%
5302 1
4.2%
5318 2
8.3%
5327 1
4.2%
5329 2
8.3%
5335 1
4.2%
5350 1
4.2%
5384 1
4.2%
ValueCountFrequency (%)
134874 1
4.2%
134867 1
4.2%
5408 1
4.2%
5404 1
4.2%
5384 1
4.2%
5350 1
4.2%
5335 1
4.2%
5329 2
8.3%
5327 1
4.2%
5318 2
8.3%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:01:20.940773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length11.333333
Min length4

Characters and Unicode

Total characters272
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowYes PC방
2nd row메가박스 PC존
3rd row고릴라 PC방
4th row청운PC방(복합유통게임)
5th row애니조이멀티방
ValueCountFrequency (%)
pc방 4
 
8.0%
pc 3
 
6.0%
plex 2
 
4.0%
cafe 2
 
4.0%
아이센스리그pc방 1
 
2.0%
쌈바플스방 1
 
2.0%
comon 1
 
2.0%
프레리주니어 1
 
2.0%
천호점 1
 
2.0%
커먼피씨플렉스 1
 
2.0%
Other values (33) 33
66.0%
2024-05-11T15:01:21.485341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
9.6%
P 20
 
7.4%
C 19
 
7.0%
방 15
 
5.5%
스 9
 
3.3%
( 8
 
2.9%
) 8
 
2.9%
점 7
 
2.6%
E 7
 
2.6%
멀 6
 
2.2%
Other values (93) 147
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
53.3%
Uppercase Letter 74
27.2%
Space Separator 26
 
9.6%
Lowercase Letter 9
 
3.3%
Open Punctuation 8
 
2.9%
Close Punctuation 8
 
2.9%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 15
 
10.3%
스 9
 
6.2%
점 7
 
4.8%
멀 6
 
4.1%
티 6
 
4.1%
호 4
 
2.8%
이 4
 
2.8%
리 4
 
2.8%
플 4
 
2.8%
미 3
 
2.1%
Other values (66) 83
57.2%
Uppercase Letter
ValueCountFrequency (%)
P 20
27.0%
C 19
25.7%
E 7
 
9.5%
N 4
 
5.4%
O 4
 
5.4%
T 3
 
4.1%
R 3
 
4.1%
X 2
 
2.7%
L 2
 
2.7%
M 2
 
2.7%
Other values (6) 8
 
10.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
f 1
 
11.1%
a 1
 
11.1%
h 1
 
11.1%
n 1
 
11.1%
s 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145
53.3%
Latin 83
30.5%
Common 44
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 15
 
10.3%
스 9
 
6.2%
점 7
 
4.8%
멀 6
 
4.1%
티 6
 
4.1%
호 4
 
2.8%
이 4
 
2.8%
리 4
 
2.8%
플 4
 
2.8%
미 3
 
2.1%
Other values (66) 83
57.2%
Latin
ValueCountFrequency (%)
P 20
24.1%
C 19
22.9%
E 7
 
8.4%
e 4
 
4.8%
N 4
 
4.8%
O 4
 
4.8%
T 3
 
3.6%
R 3
 
3.6%
X 2
 
2.4%
L 2
 
2.4%
Other values (12) 15
18.1%
Common
ValueCountFrequency (%)
26
59.1%
( 8
 
18.2%
) 8
 
18.2%
3 1
 
2.3%
2 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145
53.3%
ASCII 127
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
20.5%
P 20
15.7%
C 19
15.0%
( 8
 
6.3%
) 8
 
6.3%
E 7
 
5.5%
e 4
 
3.1%
N 4
 
3.1%
O 4
 
3.1%
T 3
 
2.4%
Other values (17) 24
18.9%
Hangul
ValueCountFrequency (%)
방 15
 
10.3%
스 9
 
6.2%
점 7
 
4.8%
멀 6
 
4.1%
티 6
 
4.1%
호 4
 
2.8%
이 4
 
2.8%
리 4
 
2.8%
플 4
 
2.8%
미 3
 
2.1%
Other values (66) 83
57.2%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2010-02-12 10:58:13
Maximum2023-02-27 10:06:22
2024-05-11T15:01:21.704398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:21.885759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
14 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 14
58.3%
U 10
41.7%

Length

2024-05-11T15:01:22.087026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:22.250395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
58.3%
u 10
41.7%

데이터갱신일자
Date

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 00:01:00
2024-05-11T15:01:22.396388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:01:22.570194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211915.03
Minimum210877.95
Maximum215289.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:01:22.749210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210877.95
5-th percentile211006.43
Q1211162.32
median211289.59
Q3212120.07
95-th percentile215034.07
Maximum215289.82
Range4411.8637
Interquartile range (IQR)957.74454

Descriptive statistics

Standard deviation1286.563
Coefficient of variation (CV)0.0060711268
Kurtosis2.3459097
Mean211915.03
Median Absolute Deviation (MAD)256.59267
Skewness1.7763844
Sum5085960.8
Variance1655244.4
MonotonicityNot monotonic
2024-05-11T15:01:22.941709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
211292.876644452 2
 
8.3%
211032.995105576 2
 
8.3%
215289.815449411 2
 
8.3%
213584.864293281 1
 
4.2%
211165.03474961 1
 
4.2%
212645.560675744 1
 
4.2%
211140.073011846 1
 
4.2%
211185.18354777 1
 
4.2%
212667.220099231 1
 
4.2%
211944.903254437 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
210877.951796858 1
4.2%
211001.738923968 1
4.2%
211032.995105576 2
8.3%
211140.073011846 1
4.2%
211154.18803842 1
4.2%
211165.03474961 1
4.2%
211185.18354777 1
4.2%
211192.88093325 1
4.2%
211197.258138184 1
4.2%
211266.256718045 1
4.2%
ValueCountFrequency (%)
215289.815449411 2
8.3%
213584.864293281 1
4.2%
213545.011196457 1
4.2%
212667.220099231 1
4.2%
212645.560675744 1
4.2%
211944.903254437 1
4.2%
211800.836666885 1
4.2%
211737.987222583 1
4.2%
211336.172451748 1
4.2%
211292.876644452 2
8.3%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449088.58
Minimum446872.3
Maximum451519.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:01:23.148363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446872.3
5-th percentile447505.72
Q1448505.48
median448852.91
Q3449682.24
95-th percentile451324.79
Maximum451519.4
Range4647.1042
Interquartile range (IQR)1176.7581

Descriptive statistics

Standard deviation1107.723
Coefficient of variation (CV)0.0024666025
Kurtosis0.61898883
Mean449088.58
Median Absolute Deviation (MAD)669.6717
Skewness0.46701312
Sum10778126
Variance1227050.3
MonotonicityNot monotonic
2024-05-11T15:01:23.312984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
449671.507805307 2
 
8.3%
448217.176805293 2
 
8.3%
451519.404046335 2
 
8.3%
450222.008091583 1
 
4.2%
449556.520197875 1
 
4.2%
448103.499291049 1
 
4.2%
448530.59997992 1
 
4.2%
448606.609911561 1
 
4.2%
449163.915676543 1
 
4.2%
447400.233206417 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
446872.29983338 1
4.2%
447400.233206417 1
4.2%
448103.499291049 1
4.2%
448217.176805293 2
8.3%
448497.276597665 1
4.2%
448508.213073073 1
4.2%
448530.59997992 1
4.2%
448556.794492412 1
4.2%
448580.889486458 1
4.2%
448606.609911561 1
4.2%
ValueCountFrequency (%)
451519.404046335 2
8.3%
450222.008091583 1
4.2%
449988.458106622 1
4.2%
449980.709046306 1
4.2%
449714.424913434 1
4.2%
449671.507805307 2
8.3%
449556.520197875 1
4.2%
449321.582778246 1
4.2%
449163.915676543 1
4.2%
448976.540074045 1
4.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
복합유통게임제공업
21 
<NA>
3 

Length

Max length9
Median length9
Mean length8.375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 21
87.5%
<NA> 3
 
12.5%

Length

2024-05-11T15:01:23.511636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:23.670260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 21
87.5%
na 3
 
12.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
유통관련업
21 
<NA>
3 

Length

Max length5
Median length5
Mean length4.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 21
87.5%
<NA> 3
 
12.5%

Length

2024-05-11T15:01:23.851073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:24.009246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 21
87.5%
na 3
 
12.5%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
4
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.75
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
91.7%
4 1
 
4.2%
7 1
 
4.2%

Length

2024-05-11T15:01:24.175489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:24.321487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
4 1
 
4.2%
7 1
 
4.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-05-11T15:01:24.479574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유흥업소밀집지역
ValueCountFrequency (%)
유흥업소밀집지역 1
100.0%
2024-05-11T15:01:24.806774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
12.5%
흥 1
12.5%
업 1
12.5%
소 1
12.5%
밀 1
12.5%
집 1
12.5%
지 1
12.5%
역 1
12.5%

제작취급품목내용
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
17 
휴게음식점
3 
노래연습장업
2 
식품접객업(휴게음식점)
2 

Length

Max length12
Median length4
Mean length4.9583333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
70.8%
휴게음식점 3
 
12.5%
노래연습장업 2
 
8.3%
식품접객업(휴게음식점) 2
 
8.3%

Length

2024-05-11T15:01:24.993032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:25.139286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
70.8%
휴게음식점 3
 
12.5%
노래연습장업 2
 
8.3%
식품접객업(휴게음식점 2
 
8.3%

시설면적
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing7
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean297.06118
Minimum98.9
Maximum556.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:01:25.315999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.9
5-th percentile128.58
Q1183.31
median328.93
Q3351.47
95-th percentile502.936
Maximum556.48
Range457.58
Interquartile range (IQR)168.16

Descriptive statistics

Standard deviation126.23684
Coefficient of variation (CV)0.42495233
Kurtosis-0.36870562
Mean297.06118
Median Absolute Deviation (MAD)98.09
Skewness0.287768
Sum5050.04
Variance15935.739
MonotonicityNot monotonic
2024-05-11T15:01:25.486200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
328.93 2
 
8.3%
357.75 1
 
4.2%
183.31 1
 
4.2%
344.5 1
 
4.2%
414.03 1
 
4.2%
556.48 1
 
4.2%
346.63 1
 
4.2%
172.79 1
 
4.2%
327.54 1
 
4.2%
351.47 1
 
4.2%
Other values (6) 6
25.0%
(Missing) 7
29.2%
ValueCountFrequency (%)
98.9 1
4.2%
136.0 1
4.2%
157.75 1
4.2%
172.79 1
4.2%
183.31 1
4.2%
224.64 1
4.2%
230.84 1
4.2%
327.54 1
4.2%
328.93 2
8.3%
344.5 1
4.2%
ValueCountFrequency (%)
556.48 1
4.2%
489.55 1
4.2%
414.03 1
4.2%
357.75 1
4.2%
351.47 1
4.2%
346.63 1
4.2%
344.5 1
4.2%
328.93 2
8.3%
327.54 1
4.2%
230.84 1
4.2%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
23
 
1
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
23 1
 
4.2%
3 1
 
4.2%
6 1
 
4.2%

Length

2024-05-11T15:01:25.634752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:25.770534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
23 1
 
4.2%
3 1
 
4.2%
6 1
 
4.2%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
1
3 
5
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
1 3
 
12.5%
5 1
 
4.2%

Length

2024-05-11T15:01:25.931838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:26.092510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
1 3
 
12.5%
5 1
 
4.2%

건물용도명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
근린생활시설
4 

Length

Max length6
Median length4
Mean length4.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
근린생활시설 4
 
16.7%

Length

2024-05-11T15:01:26.272479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:26.376882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
근린생활시설 4
 
16.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설조도
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing18
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean103.16667
Minimum45
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:01:26.476794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile46.75
Q162
median98.5
Q3146.25
95-th percentile163.75
Maximum165
Range120
Interquartile range (IQR)84.25

Descriptive statistics

Standard deviation51.347509
Coefficient of variation (CV)0.49771414
Kurtosis-1.8829392
Mean103.16667
Median Absolute Deviation (MAD)50
Skewness0.19465834
Sum619
Variance2636.5667
MonotonicityNot monotonic
2024-05-11T15:01:26.605328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
52 1
 
4.2%
105 1
 
4.2%
160 1
 
4.2%
165 1
 
4.2%
45 1
 
4.2%
92 1
 
4.2%
(Missing) 18
75.0%
ValueCountFrequency (%)
45 1
4.2%
52 1
4.2%
92 1
4.2%
105 1
4.2%
160 1
4.2%
165 1
4.2%
ValueCountFrequency (%)
165 1
4.2%
160 1
4.2%
105 1
4.2%
92 1
4.2%
52 1
4.2%
45 1
4.2%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing18
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean59.833333
Minimum2
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:01:26.716620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.75
Q110
median15
Q396.5
95-th percentile177
Maximum195
Range193
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation80.270584
Coefficient of variation (CV)1.3415697
Kurtosis0.085450837
Mean59.833333
Median Absolute Deviation (MAD)9.5
Skewness1.2850247
Sum359
Variance6443.3667
MonotonicityNot monotonic
2024-05-11T15:01:26.838712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 1
 
4.2%
17 1
 
4.2%
9 1
 
4.2%
2 1
 
4.2%
195 1
 
4.2%
123 1
 
4.2%
(Missing) 18
75.0%
ValueCountFrequency (%)
2 1
4.2%
9 1
4.2%
13 1
4.2%
17 1
4.2%
123 1
4.2%
195 1
4.2%
ValueCountFrequency (%)
195 1
4.2%
123 1
4.2%
17 1
4.2%
13 1
4.2%
9 1
4.2%
2 1
4.2%

기존게임업외업종명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing21
Missing (%)87.5%
Memory size324.0 B
2024-05-11T15:01:27.011422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.6666667
Min length5

Characters and Unicode

Total characters23
Distinct characters20
Distinct categories4 ?
Distinct scripts3 ?
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 rowPC방, 청소년게임제공업
2nd row식품접객업
3rd row휴게음식점
ValueCountFrequency (%)
pc방 1
25.0%
청소년게임제공업 1
25.0%
식품접객업 1
25.0%
휴게음식점 1
25.0%
2024-05-11T15:01:27.358584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 2
 
8.7%
게 2
 
8.7%
업 2
 
8.7%
P 1
 
4.3%
공 1
 
4.3%
음 1
 
4.3%
휴 1
 
4.3%
객 1
 
4.3%
접 1
 
4.3%
품 1
 
4.3%
Other values (10) 10
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19
82.6%
Uppercase Letter 2
 
8.7%
Space Separator 1
 
4.3%
Other Punctuation 1
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 2
 
10.5%
게 2
 
10.5%
업 2
 
10.5%
공 1
 
5.3%
음 1
 
5.3%
휴 1
 
5.3%
객 1
 
5.3%
접 1
 
5.3%
품 1
 
5.3%
제 1
 
5.3%
Other values (6) 6
31.6%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19
82.6%
Latin 2
 
8.7%
Common 2
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 2
 
10.5%
게 2
 
10.5%
업 2
 
10.5%
공 1
 
5.3%
음 1
 
5.3%
휴 1
 
5.3%
객 1
 
5.3%
접 1
 
5.3%
품 1
 
5.3%
제 1
 
5.3%
Other values (6) 6
31.6%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19
82.6%
ASCII 4
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 2
 
10.5%
게 2
 
10.5%
업 2
 
10.5%
공 1
 
5.3%
음 1
 
5.3%
휴 1
 
5.3%
객 1
 
5.3%
접 1
 
5.3%
품 1
 
5.3%
제 1
 
5.3%
Other values (6) 6
31.6%
ASCII
ValueCountFrequency (%)
P 1
25.0%
C 1
25.0%
1
25.0%
, 1
25.0%

제공게임물명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
전체이용가
12 
<NA>
12 

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 12
50.0%
<NA> 12
50.0%

Length

2024-05-11T15:01:27.533348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:01:27.666986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 12
50.0%
na 12
50.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing22
Missing (%)91.7%
Memory size324.0 B
2024-05-11T15:01:27.775681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row일반상업지역
2nd row일반주거지역
ValueCountFrequency (%)
일반상업지역 1
50.0%
일반주거지역 1
50.0%
2024-05-11T15:01:28.013900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
지 2
16.7%
역 2
16.7%
상 1
8.3%
업 1
8.3%
주 1
8.3%
거 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
지 2
16.7%
역 2
16.7%
상 1
8.3%
업 1
8.3%
주 1
8.3%
거 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
지 2
16.7%
역 2
16.7%
상 1
8.3%
업 1
8.3%
주 1
8.3%
거 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
지 2
16.7%
역 2
16.7%
상 1
8.3%
업 1
8.3%
주 1
8.3%
거 1
8.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF224103200800000120080514<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 47-1번지 세종빌딩서울특별시 강동구 동남로75길 29, 세종빌딩 지하1층 (명일동)5269Yes PC방2019-02-27 16:22:52U2019-03-01 02:40:00.0<NA>213584.864293450222.008092복합유통게임제공업유통관련업<NA><NA><NA>327.54<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>
13240000CDFF224103200800000220080530<NA>3폐업3폐업20160711<NA><NA><NA>519-6091<NA>134867서울특별시 강동구 천호동 287-3번지 지층서울특별시 강동구 상암로 44 (천호동,지층)<NA>메가박스 PC존2016-07-11 17:38:14I2018-08-31 23:59:59.0<NA>211266.256718449714.424913복합유통게임제공업유통관련업<NA><NA><NA>351.47<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>
23240000CDFF224103200800000320081119<NA>3폐업3폐업20170125<NA><NA><NA>476-1260<NA><NA>서울특별시 강동구 천호동 288-28번지 2층서울특별시 강동구 상암로12길 9 (천호동,2층)<NA>고릴라 PC방2017-01-26 10:59:08I2018-08-31 23:59:59.0<NA>211292.876644449671.507805복합유통게임제공업유통관련업<NA><NA><NA>328.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFF224103200900000120090910<NA>3폐업3폐업20100212<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 294-21번지서울특별시 강동구 구천면로 293 (천호동)<NA>청운PC방(복합유통게임)2010-02-12 10:58:13I2018-08-31 23:59:59.0<NA>211737.987223449321.582778복합유통게임제공업유통관련업<NA><NA><NA>98.9<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
43240000CDFF224103201000000120100422<NA>3폐업3폐업20101130<NA><NA><NA>474-3537<NA><NA>서울특별시 강동구 천호동 453-23번지 3층서울특별시 강동구 천호대로157길 24 (천호동,3층)<NA>애니조이멀티방2010-11-30 16:13:23I2018-08-31 23:59:59.0<NA>211197.258138448508.213073복합유통게임제공업유통관련업<NA><NA>노래연습장업157.75<NA><NA>근린생활시설<NA>52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>전체이용가<NA><NA><NA><NA>
53240000CDFF22410320100000022010-08-11<NA>4취소/말소/만료/정지/중지35직권말소2023-02-27<NA><NA><NA>474-4540<NA><NA>서울특별시 강동구 천호동 453-22 3층서울특별시 강동구 천호대로157길 22 (천호동,3층)<NA>미디어락 천호점(멀티방)2023-02-27 10:06:22U2022-12-03 00:01:00.0<NA>211192.880933448497.276598<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFF224103201000000320100901<NA>3폐업3폐업20140630<NA><NA><NA>471-6361<NA><NA>서울특별시 강동구 천호동 414번지 두산위브센티움 지하 102호서울특별시 강동구 올림픽로70길 61, 지층 (천호동)134867엠플레이 멀티존(멀티방)2014-07-01 17:14:33I2018-08-31 23:59:59.0<NA>211154.188038448580.889486복합유통게임제공업유통관련업<NA>유흥업소밀집지역<NA>230.84235근린생활시설<NA>105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17<NA>전체이용가<NA><NA><NA>일반상업지역
73240000CDFF224103201000000420100914<NA>3폐업3폐업20130423<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 38-3번지 2층서울특별시 강동구 천호옛길 84 (성내동,2층)<NA>스마일멀티방성내점(멀티방)2013-04-23 13:38:42I2018-08-31 23:59:59.0<NA>211032.995106448217.176805복합유통게임제공업유통관련업<NA><NA><NA>136.0<NA><NA><NA><NA>160<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA><NA>
83240000CDFF224103201100000120110803<NA>3폐업3폐업20150702<NA><NA><NA>815-3882<NA><NA>서울특별시 강동구 강일동 675-1번지 강일타워 5층서울특별시 강동구 아리수로93길 27 (강일동,강일타워 5층)<NA>본PC방2015-07-02 17:22:33I2018-08-31 23:59:59.0<NA>215289.815449451519.404046복합유통게임제공업유통관련업<NA><NA><NA>224.64<NA><NA><NA><NA>165<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA>전체이용가<NA><NA><NA><NA>
93240000CDFF224103201100000220110921<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 358-12번지 지층서울특별시 강동구 올림픽로 690, 지층 (천호동)5327프리미엄 PC방2019-11-13 14:29:29U2019-11-15 02:40:00.0<NA>211001.738924448976.540074복합유통게임제공업유통관련업4<NA><NA>489.5531근린생활시설<NA>45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>195<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
143240000CDFF224103201500000120150430<NA>3폐업3폐업20200312<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 410-105번지서울특별시 강동구 진황도로 18, 지하1층 1호 (천호동)53353POP(쓰리팝) PC방2020-03-12 16:06:51U2020-03-14 02:40:00.0<NA>211336.172452448556.794492복합유통게임제공업유통관련업<NA><NA>휴게음식점556.48<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153240000CDFF224103201600000120160725<NA>3폐업3폐업20211231<NA><NA><NA>070-8670-0302<NA><NA>서울특별시 강동구 암사동 500-1서울특별시 강동구 올림픽로 796, 2층 (암사동)5263COMON PC PLEX (커먼피씨플렉스)2022-01-18 18:18:06U2022-01-20 02:40:00.0<NA>211286.298907449980.709046복합유통게임제공업유통관련업<NA><NA><NA>414.03<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>
163240000CDFF224103201700000120170126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 288-28번지서울특별시 강동구 상암로12길 9, 2층 (천호동)5318제논 피씨 플렉스(ZENON PC PLEX)2017-11-15 14:09:18I2018-08-31 23:59:59.0<NA>211292.876644449671.507805복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)328.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173240000CDFF224103201700000220170328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 675-1번지서울특별시 강동구 아리수로93길 27, 5층 (강일동, 강일타워)5211The Ten PC Cafe2017-09-01 10:26:35I2018-08-31 23:59:59.0<NA>215289.815449451519.404046복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183240000CDFF224103201700000320171026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 416번지서울특별시 강동구 양재대로 1371, 지하1층 (성내동)5404스타덤PC방(둔촌역본점)2019-11-13 14:29:54U2019-11-15 02:40:00.0<NA>211944.903254447400.233206복합유통게임제공업유통관련업<NA><NA>노래연습장업344.5<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>
193240000CDFF224103201700000420171228<NA>3폐업3폐업20191115<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 322-1번지서울특별시 강동구 양재대로128길 26, 지하1층 (길동)5302미니언PCVR2019-11-19 11:26:15U2019-11-21 02:40:00.0<NA>212667.220099449163.915677복합유통게임제공업유통관련업<NA><NA><NA>183.31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>식품접객업전체이용가<NA><NA><NA><NA>
203240000CDFF224103201800000120180423<NA>3폐업3폐업20190121<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 413-1번지 수정상가 201호서울특별시 강동구 천호대로157길 37, 수정상가 2층 201호 (천호동)5329ENTER VR GAME CAFE2019-01-21 14:39:15U2019-01-23 02:40:00.0<NA>211185.183548448606.609912복합유통게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>휴게음식점<NA><NA><NA><NA><NA>
213240000CDFF224103202000000120200409<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 454-59번지서울특별시 강동구 올림픽로70길 60, 3층 (천호동)5329쌈바플스방2020-04-09 13:09:12I2020-04-11 00:23:21.0<NA>211140.073012448530.59998복합유통게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223240000CDFF224103202200000120221013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 38-3서울특별시 강동구 천호옛길 84, 지하층 (성내동)5384아이센스리그PC방 천호점2022-10-13 18:22:31I2021-10-30 23:05:00.0<NA>211032.995106448217.176805<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233240000CDFF224103202200000220221201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 150-1 지앤지타워 B201호서울특별시 강동구 천호대로 1195, 지앤지타워 지하층 B201호 (길동)5350프레리주니어 길동점2022-12-01 16:52:55I2021-11-02 00:03:00.0<NA>212645.560676448103.499291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>