Overview

Dataset statistics

Number of variables56
Number of observations42
Missing cells1307
Missing cells (%)55.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory487.1 B

Variable types

Categorical13
Text8
DateTime3
Unsupported24
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16764/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (54.6%)Imbalance
문화사업자구분명 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 7 (16.7%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 31 (73.8%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 35 (83.3%) missing valuesMissing
도로명우편번호 has 15 (35.7%) missing valuesMissing
업태구분명 has 42 (100.0%) missing valuesMissing
총층수 has 33 (78.6%) missing valuesMissing
주변환경명 has 39 (92.9%) missing valuesMissing
제작취급품목내용 has 31 (73.8%) missing valuesMissing
시설면적 has 5 (11.9%) missing valuesMissing
지상층수 has 30 (71.4%) missing valuesMissing
통로너비 has 42 (100.0%) missing valuesMissing
조명시설조도 has 42 (100.0%) missing valuesMissing
노래방실수 has 42 (100.0%) missing valuesMissing
청소년실수 has 42 (100.0%) missing valuesMissing
비상계단여부 has 42 (100.0%) missing valuesMissing
비상구여부 has 42 (100.0%) missing valuesMissing
자동환기여부 has 42 (100.0%) missing valuesMissing
청소년실여부 has 42 (100.0%) missing valuesMissing
특수조명여부 has 42 (100.0%) missing valuesMissing
방음시설여부 has 42 (100.0%) missing valuesMissing
비디오재생기명 has 42 (100.0%) missing valuesMissing
조명시설유무 has 42 (100.0%) missing valuesMissing
음향시설여부 has 42 (100.0%) missing valuesMissing
편의시설여부 has 42 (100.0%) missing valuesMissing
소방시설여부 has 42 (100.0%) missing valuesMissing
총게임기수 has 36 (85.7%) missing valuesMissing
기존게임업외업종명 has 37 (88.1%) missing valuesMissing
공연장형태구분명 has 42 (100.0%) missing valuesMissing
품목명 has 42 (100.0%) missing valuesMissing
최초등록시점 has 42 (100.0%) missing valuesMissing
관리번호 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
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

Reproduction

Analysis started2024-05-11 07:11:38.088550
Analysis finished2024-05-11 07:11:38.643380
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3220000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3220000 42
100.0%

Length

2024-05-11T16:11:38.933861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:39.036908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 42
100.0%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T16:11:39.216418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters840
Distinct characters12
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

Unique42 ?
Unique (%)100.0%

Sample

1st rowCDFF2241032001000001
2nd rowCDFF2241032002000001
3rd rowCDFF2241032003000001
4th rowCDFF2241032004000001
5th rowCDFF2241032004000002
ValueCountFrequency (%)
cdff2241032001000001 1
 
2.4%
cdff2241032017000003 1
 
2.4%
cdff2241032022000001 1
 
2.4%
cdff2241032013000001 1
 
2.4%
cdff2241032013000002 1
 
2.4%
cdff2241032013000003 1
 
2.4%
cdff2241032014000001 1
 
2.4%
cdff2241032016000001 1
 
2.4%
cdff2241032017000001 1
 
2.4%
cdff2241032017000002 1
 
2.4%
Other values (32) 32
76.2%
2024-05-11T16:11:39.558659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 311
37.0%
2 143
17.0%
1 92
 
11.0%
F 84
 
10.0%
3 55
 
6.5%
4 53
 
6.3%
C 42
 
5.0%
D 42
 
5.0%
9 7
 
0.8%
7 6
 
0.7%
Other values (2) 5
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 672
80.0%
Uppercase Letter 168
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 311
46.3%
2 143
21.3%
1 92
 
13.7%
3 55
 
8.2%
4 53
 
7.9%
9 7
 
1.0%
7 6
 
0.9%
8 4
 
0.6%
6 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
F 84
50.0%
C 42
25.0%
D 42
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
80.0%
Latin 168
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 311
46.3%
2 143
21.3%
1 92
 
13.7%
3 55
 
8.2%
4 53
 
7.9%
9 7
 
1.0%
7 6
 
0.9%
8 4
 
0.6%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
F 84
50.0%
C 42
25.0%
D 42
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 311
37.0%
2 143
17.0%
1 92
 
11.0%
F 84
 
10.0%
3 55
 
6.5%
4 53
 
6.3%
C 42
 
5.0%
D 42
 
5.0%
9 7
 
0.8%
7 6
 
0.7%
Other values (2) 5
 
0.6%

인허가일자
Date

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2001-11-14 00:00:00
Maximum2023-12-29 00:00:00
2024-05-11T16:11:39.752208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:11:39.912265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
30 
4
6 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 30
71.4%
4 6
 
14.3%
1 6
 
14.3%

Length

2024-05-11T16:11:40.065707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:40.168796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
71.4%
4 6
 
14.3%
1 6
 
14.3%

영업상태명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
30 
취소/말소/만료/정지/중지
6 
영업/정상
6 

Length

Max length14
Median length2
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 30
71.4%
취소/말소/만료/정지/중지 6
 
14.3%
영업/정상 6
 
14.3%

Length

2024-05-11T16:11:40.278028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:40.381038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
71.4%
취소/말소/만료/정지/중지 6
 
14.3%
영업/정상 6
 
14.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
30 
13
6 
35
5 
33
 
1

Length

Max length2
Median length1
Mean length1.2857143
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 30
71.4%
13 6
 
14.3%
35 5
 
11.9%
33 1
 
2.4%

Length

2024-05-11T16:11:40.500575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:40.603690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
71.4%
13 6
 
14.3%
35 5
 
11.9%
33 1
 
2.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
30 
영업중
6 
직권말소
5 
지정취소
 
1

Length

Max length4
Median length2
Mean length2.4285714
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 30
71.4%
영업중 6
 
14.3%
직권말소 5
 
11.9%
지정취소 1
 
2.4%

Length

2024-05-11T16:11:40.722371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:40.859714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
71.4%
영업중 6
 
14.3%
직권말소 5
 
11.9%
지정취소 1
 
2.4%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)94.3%
Missing7
Missing (%)16.7%
Memory size468.0 B
Minimum2002-03-16 00:00:00
Maximum2023-06-02 00:00:00
2024-05-11T16:11:40.996651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:11:41.135570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing31
Missing (%)73.8%
Memory size468.0 B
2024-05-11T16:11:41.327280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.272727
Min length8

Characters and Unicode

Total characters113
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

Unique11 ?
Unique (%)100.0%

Sample

1st row542-1775
2nd row02.552.2649
3rd row02-541-2520
4th row02-557-6370
5th row02-561-7570
ValueCountFrequency (%)
542-1775 1
9.1%
02.552.2649 1
9.1%
02-541-2520 1
9.1%
02-557-6370 1
9.1%
02-561-7570 1
9.1%
538-3339 1
9.1%
02-6124-6098 1
9.1%
02-518-1161 1
9.1%
070-5157-6552 1
9.1%
18878870 1
9.1%
2024-05-11T16:11:41.628794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 19
16.8%
0 15
13.3%
2 14
12.4%
- 14
12.4%
7 11
9.7%
1 10
8.8%
6 8
7.1%
8 7
 
6.2%
3 6
 
5.3%
4 4
 
3.5%
Other values (2) 5
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
85.8%
Dash Punctuation 14
 
12.4%
Other Punctuation 2
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 19
19.6%
0 15
15.5%
2 14
14.4%
7 11
11.3%
1 10
10.3%
6 8
8.2%
8 7
 
7.2%
3 6
 
6.2%
4 4
 
4.1%
9 3
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 19
16.8%
0 15
13.3%
2 14
12.4%
- 14
12.4%
7 11
9.7%
1 10
8.8%
6 8
7.1%
8 7
 
6.2%
3 6
 
5.3%
4 4
 
3.5%
Other values (2) 5
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 19
16.8%
0 15
13.3%
2 14
12.4%
- 14
12.4%
7 11
9.7%
1 10
8.8%
6 8
7.1%
8 7
 
6.2%
3 6
 
5.3%
4 4
 
3.5%
Other values (2) 5
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing35
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean135834.71
Minimum135500
Maximum135957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:41.740767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135500
5-th percentile135597.5
Q1135829
median135872
Q3135928
95-th percentile135948.3
Maximum135957
Range457
Interquartile range (IQR)99

Descriptive statistics

Standard deviation155.92703
Coefficient of variation (CV)0.0011479174
Kurtosis4.8063662
Mean135834.71
Median Absolute Deviation (MAD)56
Skewness-2.0923871
Sum950843
Variance24313.238
MonotonicityNot monotonic
2024-05-11T16:11:41.863412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
135928 2
 
4.8%
135872 1
 
2.4%
135825 1
 
2.4%
135833 1
 
2.4%
135957 1
 
2.4%
135500 1
 
2.4%
(Missing) 35
83.3%
ValueCountFrequency (%)
135500 1
2.4%
135825 1
2.4%
135833 1
2.4%
135872 1
2.4%
135928 2
4.8%
135957 1
2.4%
ValueCountFrequency (%)
135957 1
2.4%
135928 2
4.8%
135872 1
2.4%
135833 1
2.4%
135825 1
2.4%
135500 1
2.4%

지번주소
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T16:11:42.109089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length25.166667
Min length19

Characters and Unicode

Total characters1057
Distinct characters76
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)92.9%

Sample

1st row서울특별시 강남구 삼성동 100-1번지
2nd row서울특별시 강남구 논현동 144번지 지상2층
3rd row서울특별시 강남구 논현동 267-2번지
4th row서울특별시 강남구 대치동 990-1번지 지상4층
5th row서울특별시 강남구 청담동 132-15번지 지하1층
ValueCountFrequency (%)
서울특별시 42
21.0%
강남구 42
21.0%
역삼동 22
 
11.0%
지하1층 10
 
5.0%
논현동 5
 
2.5%
대치동 5
 
2.5%
삼성동 4
 
2.0%
4층 4
 
2.0%
773-7번지 3
 
1.5%
신사동 3
 
1.5%
Other values (56) 60
30.0%
2024-05-11T16:11:42.505757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
18.7%
1 61
 
5.8%
지 46
 
4.4%
서 43
 
4.1%
남 43
 
4.1%
울 43
 
4.1%
특 42
 
4.0%
별 42
 
4.0%
시 42
 
4.0%
강 42
 
4.0%
Other values (66) 455
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 622
58.8%
Decimal Number 200
 
18.9%
Space Separator 198
 
18.7%
Dash Punctuation 31
 
2.9%
Uppercase Letter 5
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 46
 
7.4%
서 43
 
6.9%
남 43
 
6.9%
울 43
 
6.9%
특 42
 
6.8%
별 42
 
6.8%
시 42
 
6.8%
강 42
 
6.8%
구 42
 
6.8%
동 42
 
6.8%
Other values (49) 195
31.4%
Decimal Number
ValueCountFrequency (%)
1 61
30.5%
2 22
 
11.0%
8 21
 
10.5%
9 17
 
8.5%
3 15
 
7.5%
7 15
 
7.5%
4 15
 
7.5%
6 15
 
7.5%
5 11
 
5.5%
0 8
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
K 1
20.0%
T 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 622
58.8%
Common 430
40.7%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 46
 
7.4%
서 43
 
6.9%
남 43
 
6.9%
울 43
 
6.9%
특 42
 
6.8%
별 42
 
6.8%
시 42
 
6.8%
강 42
 
6.8%
구 42
 
6.8%
동 42
 
6.8%
Other values (49) 195
31.4%
Common
ValueCountFrequency (%)
198
46.0%
1 61
 
14.2%
- 31
 
7.2%
2 22
 
5.1%
8 21
 
4.9%
9 17
 
4.0%
3 15
 
3.5%
7 15
 
3.5%
4 15
 
3.5%
6 15
 
3.5%
Other values (3) 20
 
4.7%
Latin
ValueCountFrequency (%)
B 2
40.0%
K 1
20.0%
T 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 622
58.8%
ASCII 435
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
45.5%
1 61
 
14.0%
- 31
 
7.1%
2 22
 
5.1%
8 21
 
4.8%
9 17
 
3.9%
3 15
 
3.4%
7 15
 
3.4%
4 15
 
3.4%
6 15
 
3.4%
Other values (7) 25
 
5.7%
Hangul
ValueCountFrequency (%)
지 46
 
7.4%
서 43
 
6.9%
남 43
 
6.9%
울 43
 
6.9%
특 42
 
6.8%
별 42
 
6.8%
시 42
 
6.8%
강 42
 
6.8%
구 42
 
6.8%
동 42
 
6.8%
Other values (49) 195
31.4%

도로명주소
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T16:11:42.829361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36.5
Mean length31.666667
Min length24

Characters and Unicode

Total characters1330
Distinct characters109
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

Unique39 ?
Unique (%)92.9%

Sample

1st row서울특별시 강남구 봉은사로111길 22-2 (삼성동)
2nd row서울특별시 강남구 강남대로128길 10 (논현동,지상2층)
3rd row서울특별시 강남구 선릉로 639 (논현동)
4th row서울특별시 강남구 도곡로 520 (대치동,지상4층)
5th row서울특별시 강남구 학동로101길 19 (청담동,지하1층)
ValueCountFrequency (%)
서울특별시 42
 
17.1%
강남구 42
 
17.1%
역삼동 14
 
5.7%
지하1층 7
 
2.9%
역삼동,지하1층 4
 
1.6%
삼성동 4
 
1.6%
테헤란로1길 4
 
1.6%
논현동 4
 
1.6%
언주로 3
 
1.2%
10 3
 
1.2%
Other values (97) 118
48.2%
2024-05-11T16:11:43.273630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
16.1%
남 57
 
4.3%
강 55
 
4.1%
1 54
 
4.1%
구 44
 
3.3%
, 44
 
3.3%
동 44
 
3.3%
시 43
 
3.2%
울 43
 
3.2%
로 43
 
3.2%
Other values (99) 689
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
58.8%
Space Separator 214
 
16.1%
Decimal Number 193
 
14.5%
Other Punctuation 44
 
3.3%
Close Punctuation 42
 
3.2%
Open Punctuation 42
 
3.2%
Uppercase Letter 11
 
0.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 57
 
7.3%
강 55
 
7.0%
구 44
 
5.6%
동 44
 
5.6%
시 43
 
5.5%
울 43
 
5.5%
로 43
 
5.5%
서 43
 
5.5%
별 42
 
5.4%
특 42
 
5.4%
Other values (77) 326
41.7%
Decimal Number
ValueCountFrequency (%)
1 54
28.0%
2 38
19.7%
3 24
12.4%
0 15
 
7.8%
4 14
 
7.3%
5 14
 
7.3%
6 13
 
6.7%
9 12
 
6.2%
8 6
 
3.1%
7 3
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
K 2
18.2%
A 1
 
9.1%
M 1
 
9.1%
G 1
 
9.1%
T 1
 
9.1%
S 1
 
9.1%
Space Separator
ValueCountFrequency (%)
214
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
58.8%
Common 537
40.4%
Latin 11
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 57
 
7.3%
강 55
 
7.0%
구 44
 
5.6%
동 44
 
5.6%
시 43
 
5.5%
울 43
 
5.5%
로 43
 
5.5%
서 43
 
5.5%
별 42
 
5.4%
특 42
 
5.4%
Other values (77) 326
41.7%
Common
ValueCountFrequency (%)
214
39.9%
1 54
 
10.1%
, 44
 
8.2%
) 42
 
7.8%
( 42
 
7.8%
2 38
 
7.1%
3 24
 
4.5%
0 15
 
2.8%
4 14
 
2.6%
5 14
 
2.6%
Other values (5) 36
 
6.7%
Latin
ValueCountFrequency (%)
B 4
36.4%
K 2
18.2%
A 1
 
9.1%
M 1
 
9.1%
G 1
 
9.1%
T 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
58.8%
ASCII 548
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
39.1%
1 54
 
9.9%
, 44
 
8.0%
) 42
 
7.7%
( 42
 
7.7%
2 38
 
6.9%
3 24
 
4.4%
0 15
 
2.7%
4 14
 
2.6%
5 14
 
2.6%
Other values (12) 47
 
8.6%
Hangul
ValueCountFrequency (%)
남 57
 
7.3%
강 55
 
7.0%
구 44
 
5.6%
동 44
 
5.6%
시 43
 
5.5%
울 43
 
5.5%
로 43
 
5.5%
서 43
 
5.5%
별 42
 
5.4%
특 42
 
5.4%
Other values (77) 326
41.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)81.5%
Missing15
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean20588.407
Minimum6018
Maximum135931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:43.418630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6018
5-th percentile6051.8
Q16125.5
median6164
Q36279
95-th percentile135914.3
Maximum135931
Range129913
Interquartile range (IQR)153.5

Descriptive statistics

Standard deviation41552.223
Coefficient of variation (CV)2.018234
Kurtosis5.2649415
Mean20588.407
Median Absolute Deviation (MAD)73
Skewness2.6228811
Sum555887
Variance1.7265872 × 109
MonotonicityNot monotonic
2024-05-11T16:11:43.542741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6129 3
 
7.1%
6164 2
 
4.8%
6279 2
 
4.8%
6134 2
 
4.8%
6123 1
 
2.4%
6307 1
 
2.4%
6222 1
 
2.4%
6296 1
 
2.4%
6241 1
 
2.4%
6248 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 15
35.7%
ValueCountFrequency (%)
6018 1
 
2.4%
6035 1
 
2.4%
6091 1
 
2.4%
6109 1
 
2.4%
6114 1
 
2.4%
6119 1
 
2.4%
6123 1
 
2.4%
6128 1
 
2.4%
6129 3
7.1%
6134 2
4.8%
ValueCountFrequency (%)
135931 1
2.4%
135917 1
2.4%
135908 1
2.4%
6307 1
2.4%
6296 1
2.4%
6282 1
2.4%
6279 2
4.8%
6257 1
2.4%
6248 1
2.4%
6241 1
2.4%

사업장명
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T16:11:43.772499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.4047619
Min length3

Characters and Unicode

Total characters311
Distinct characters127
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

Unique40 ?
Unique (%)95.2%

Sample

1st row게임천국
2nd row해피넷멀티방
3rd row게임숲
4th row메가웹스테이션
5th row미라클 인터넷 플라자 태양왕
ValueCountFrequency (%)
pc방 3
 
4.6%
싸이버리아 2
 
3.1%
엠플러스 2
 
3.1%
강남역점 2
 
3.1%
아레나 2
 
3.1%
엠플레이 2
 
3.1%
멀티방 2
 
3.1%
역삼볼링시티 1
 
1.5%
refuse 1
 
1.5%
주)크롬테크놀로지 1
 
1.5%
Other values (47) 47
72.3%
2024-05-11T16:11:44.171180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
7.4%
이 12
 
3.9%
방 12
 
3.9%
스 10
 
3.2%
티 9
 
2.9%
P 9
 
2.9%
플 8
 
2.6%
아 8
 
2.6%
멀 7
 
2.3%
C 6
 
1.9%
Other values (117) 207
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
77.8%
Uppercase Letter 33
 
10.6%
Space Separator 23
 
7.4%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%
Decimal Number 3
 
1.0%
Lowercase Letter 3
 
1.0%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 12
 
5.0%
방 12
 
5.0%
스 10
 
4.1%
티 9
 
3.7%
플 8
 
3.3%
아 8
 
3.3%
멀 7
 
2.9%
점 6
 
2.5%
강 5
 
2.1%
레 5
 
2.1%
Other values (94) 160
66.1%
Uppercase Letter
ValueCountFrequency (%)
P 9
27.3%
C 6
18.2%
R 3
 
9.1%
O 3
 
9.1%
K 2
 
6.1%
E 2
 
6.1%
V 2
 
6.1%
U 1
 
3.0%
G 1
 
3.0%
N 1
 
3.0%
Other values (3) 3
 
9.1%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
2 1
33.3%
1 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
c 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
77.8%
Latin 36
 
11.6%
Common 33
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 12
 
5.0%
방 12
 
5.0%
스 10
 
4.1%
티 9
 
3.7%
플 8
 
3.3%
아 8
 
3.3%
멀 7
 
2.9%
점 6
 
2.5%
강 5
 
2.1%
레 5
 
2.1%
Other values (94) 160
66.1%
Latin
ValueCountFrequency (%)
P 9
25.0%
C 6
16.7%
R 3
 
8.3%
O 3
 
8.3%
K 2
 
5.6%
E 2
 
5.6%
V 2
 
5.6%
U 1
 
2.8%
G 1
 
2.8%
N 1
 
2.8%
Other values (6) 6
16.7%
Common
ValueCountFrequency (%)
23
69.7%
) 3
 
9.1%
( 3
 
9.1%
3 1
 
3.0%
- 1
 
3.0%
2 1
 
3.0%
1 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
77.8%
ASCII 69
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
33.3%
P 9
 
13.0%
C 6
 
8.7%
) 3
 
4.3%
( 3
 
4.3%
R 3
 
4.3%
O 3
 
4.3%
K 2
 
2.9%
E 2
 
2.9%
V 2
 
2.9%
Other values (13) 13
18.8%
Hangul
ValueCountFrequency (%)
이 12
 
5.0%
방 12
 
5.0%
스 10
 
4.1%
티 9
 
3.7%
플 8
 
3.3%
아 8
 
3.3%
멀 7
 
2.9%
점 6
 
2.5%
강 5
 
2.1%
레 5
 
2.1%
Other values (94) 160
66.1%

최종수정일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2006-09-22 19:38:44
Maximum2024-01-29 17:20:04
2024-05-11T16:11:44.315951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:11:44.467598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
27 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 27
64.3%
U 15
35.7%

Length

2024-05-11T16:11:44.572757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:44.661214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
64.3%
u 15
35.7%

데이터갱신일자
Categorical

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2018-08-31 23:59:59.0
26 
2020-10-16 02:40:00.0
 
1
2019-04-11 02:40:00.0
 
1
2021-02-19 02:40:00.0
 
1
2019-03-24 02:40:00.0
 
1
Other values (12)
12 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique16 ?
Unique (%)38.1%

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 26
61.9%
2020-10-16 02:40:00.0 1
 
2.4%
2019-04-11 02:40:00.0 1
 
2.4%
2021-02-19 02:40:00.0 1
 
2.4%
2019-03-24 02:40:00.0 1
 
2.4%
2018-10-24 02:36:00.0 1
 
2.4%
2021-04-15 02:40:00.0 1
 
2.4%
2022-12-05 23:01:00.0 1
 
2.4%
2019-03-17 02:40:00.0 1
 
2.4%
2021-03-11 02:40:00.0 1
 
2.4%
Other values (7) 7
 
16.7%

Length

2024-05-11T16:11:44.754190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 26
31.0%
23:59:59.0 26
31.0%
02:40:00.0 11
13.1%
2021-03-11 1
 
1.2%
2023-11-30 1
 
1.2%
00:01:00.0 1
 
1.2%
2021-12-09 1
 
1.2%
00:08:00.0 1
 
1.2%
2022-10-31 1
 
1.2%
2020-12-09 1
 
1.2%
Other values (14) 14
16.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203403.13
Minimum201812.64
Maximum205707.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:44.851739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201812.64
5-th percentile201976.93
Q1202358.59
median203233.55
Q3204094.85
95-th percentile205409.81
Maximum205707.17
Range3894.5287
Interquartile range (IQR)1736.2539

Descriptive statistics

Standard deviation1216.677
Coefficient of variation (CV)0.0059816041
Kurtosis-1.1117013
Mean203403.13
Median Absolute Deviation (MAD)875.63517
Skewness0.53288792
Sum8542931.6
Variance1480302.9
MonotonicityNot monotonic
2024-05-11T16:11:44.970045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
203908.905 3
 
7.1%
205130.591678902 2
 
4.8%
205336.355 2
 
4.8%
202357.91770375 2
 
4.8%
202391.386410697 2
 
4.8%
205707.167020051 1
 
2.4%
203074.684010896 1
 
2.4%
202436.583685579 1
 
2.4%
205413.679784965 1
 
2.4%
202316.044245494 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
201812.63828808 1
2.4%
201962.852859502 1
2.4%
201972.436484458 1
2.4%
202062.217390025 1
2.4%
202271.694937929 1
2.4%
202294.230653355 1
2.4%
202316.044245494 1
2.4%
202331.799925011 1
2.4%
202332.791305253 1
2.4%
202357.91770375 2
4.8%
ValueCountFrequency (%)
205707.167020051 1
2.4%
205540.46591416 1
2.4%
205413.679784965 1
2.4%
205336.355 2
4.8%
205183.171677666 1
2.4%
205130.591678902 2
4.8%
204987.985 1
2.4%
204379.923841972 1
2.4%
204114.298141818 1
2.4%
204036.49782296 1
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct36
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444572.77
Minimum441824.22
Maximum447323.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:45.076028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441824.22
5-th percentile443430.76
Q1443994.92
median444264.33
Q3445183.28
95-th percentile446581.25
Maximum447323.74
Range5499.5142
Interquartile range (IQR)1188.3533

Descriptive statistics

Standard deviation1099.2302
Coefficient of variation (CV)0.002472554
Kurtosis1.0079925
Mean444572.77
Median Absolute Deviation (MAD)406.86684
Skewness0.53667314
Sum18672056
Variance1208307
MonotonicityNot monotonic
2024-05-11T16:11:45.179959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
443857.465 3
 
7.1%
445590.096837802 2
 
4.8%
443934.37 2
 
4.8%
444180.184155495 2
 
4.8%
444162.341569338 2
 
4.8%
446049.853287807 1
 
2.4%
445098.521748767 1
 
2.4%
444044.876878378 1
 
2.4%
444059.557311856 1
 
2.4%
444445.918127546 1
 
2.4%
Other values (26) 26
61.9%
ValueCountFrequency (%)
441824.223099777 1
 
2.4%
442606.195243796 1
 
2.4%
443422.779316247 1
 
2.4%
443582.397475776 1
 
2.4%
443705.648259719 1
 
2.4%
443857.465 3
7.1%
443934.37 2
4.8%
443978.271693851 1
 
2.4%
444044.876878378 1
 
2.4%
444059.557311856 1
 
2.4%
ValueCountFrequency (%)
447323.737268385 1
2.4%
447208.610020413 1
2.4%
446601.75 1
2.4%
446191.708915667 1
2.4%
446049.853287807 1
2.4%
445980.758113913 1
2.4%
445699.827134298 1
2.4%
445590.096837802 2
4.8%
445286.189676384 1
2.4%
445211.527845929 1
2.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
복합유통게임제공업
38 
<NA>
4 

Length

Max length9
Median length9
Mean length8.5238095
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T16:11:45.292501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:45.381692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 38
90.5%
na 4
 
9.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
유통관련업
38 
<NA>
4 

Length

Max length5
Median length5
Mean length4.9047619
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 38
90.5%
<NA> 4
 
9.5%

Length

2024-05-11T16:11:45.477335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:45.573829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 38
90.5%
na 4
 
9.5%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)66.7%
Missing33
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean4.3333333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:45.683056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median4
Q36
95-th percentile6.6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8708287
Coefficient of variation (CV)0.4317297
Kurtosis-0.28571429
Mean4.3333333
Median Absolute Deviation (MAD)1
Skewness-0.32725866
Sum39
Variance3.5
MonotonicityNot monotonic
2024-05-11T16:11:45.779066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 2
 
4.8%
6 2
 
4.8%
3 2
 
4.8%
7 1
 
2.4%
5 1
 
2.4%
1 1
 
2.4%
(Missing) 33
78.6%
ValueCountFrequency (%)
1 1
2.4%
3 2
4.8%
4 2
4.8%
5 1
2.4%
6 2
4.8%
7 1
2.4%
ValueCountFrequency (%)
7 1
2.4%
6 2
4.8%
5 1
2.4%
4 2
4.8%
3 2
4.8%
1 1
2.4%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing39
Missing (%)92.9%
Memory size468.0 B
2024-05-11T16:11:45.890492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters9
Distinct characters6
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 (%)33.3%

Sample

1st row주택가주변
2nd row기타
3rd row기타
ValueCountFrequency (%)
기타 2
66.7%
주택가주변 1
33.3%
2024-05-11T16:11:46.136144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

제작취급품목내용
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing31
Missing (%)73.8%
Memory size468.0 B
2024-05-11T16:11:46.283671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length5
Mean length6
Min length5

Characters and Unicode

Total characters66
Distinct characters18
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

Unique5 ?
Unique (%)45.5%

Sample

1st row노래연습장,게임
2nd row휴게음식점
3rd row휴게음식점
4th row휴게음식점
5th row휴게음식점
ValueCountFrequency (%)
휴게음식점 6
54.5%
노래연습장,게임 1
 
9.1%
노래연습장 1
 
9.1%
식품접객업 1
 
9.1%
노래연습장업 1
 
9.1%
식품접객업(휴게음식점 1
 
9.1%
2024-05-11T16:11:46.539005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 9
13.6%
게 8
12.1%
휴 7
10.6%
음 7
10.6%
점 7
10.6%
습 3
 
4.5%
업 3
 
4.5%
장 3
 
4.5%
연 3
 
4.5%
래 3
 
4.5%
Other values (8) 13
19.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
95.5%
Other Punctuation 1
 
1.5%
Open Punctuation 1
 
1.5%
Close Punctuation 1
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 9
14.3%
게 8
12.7%
휴 7
11.1%
음 7
11.1%
점 7
11.1%
습 3
 
4.8%
업 3
 
4.8%
장 3
 
4.8%
연 3
 
4.8%
래 3
 
4.8%
Other values (5) 10
15.9%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
95.5%
Common 3
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 9
14.3%
게 8
12.7%
휴 7
11.1%
음 7
11.1%
점 7
11.1%
습 3
 
4.8%
업 3
 
4.8%
장 3
 
4.8%
연 3
 
4.8%
래 3
 
4.8%
Other values (5) 10
15.9%
Common
ValueCountFrequency (%)
, 1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
95.5%
ASCII 3
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 9
14.3%
게 8
12.7%
휴 7
11.1%
음 7
11.1%
점 7
11.1%
습 3
 
4.8%
업 3
 
4.8%
장 3
 
4.8%
연 3
 
4.8%
래 3
 
4.8%
Other values (5) 10
15.9%
ASCII
ValueCountFrequency (%)
, 1
33.3%
( 1
33.3%
) 1
33.3%

시설면적
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)91.9%
Missing5
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean295.33378
Minimum39.6
Maximum2136.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:46.656532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.6
5-th percentile117.844
Q1182
median214.5
Q3334.27
95-th percentile439.942
Maximum2136.35
Range2096.75
Interquartile range (IQR)152.27

Descriptive statistics

Standard deviation326.31829
Coefficient of variation (CV)1.1049135
Kurtosis30.023369
Mean295.33378
Median Absolute Deviation (MAD)55.07
Skewness5.2435777
Sum10927.35
Variance106483.62
MonotonicityNot monotonic
2024-05-11T16:11:46.764978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
214.5 3
 
7.1%
159.43 2
 
4.8%
292.58 1
 
2.4%
2136.35 1
 
2.4%
128.09 1
 
2.4%
245.1 1
 
2.4%
199.4 1
 
2.4%
76.86 1
 
2.4%
181.87 1
 
2.4%
541.67 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 5
 
11.9%
ValueCountFrequency (%)
39.6 1
2.4%
76.86 1
2.4%
128.09 1
2.4%
159.43 2
4.8%
165.6 1
2.4%
176.31 1
2.4%
178.0 1
2.4%
181.87 1
2.4%
182.0 1
2.4%
189.0 1
2.4%
ValueCountFrequency (%)
2136.35 1
2.4%
541.67 1
2.4%
414.51 1
2.4%
382.14 1
2.4%
376.05 1
2.4%
360.33 1
2.4%
342.33 1
2.4%
339.9 1
2.4%
339.5 1
2.4%
334.27 1
2.4%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)50.0%
Missing30
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean13.583333
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:46.853052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35.25
95-th percentile58.65
Maximum123
Range122
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation34.494949
Coefficient of variation (CV)2.5395055
Kurtosis11.932083
Mean13.583333
Median Absolute Deviation (MAD)1
Skewness3.4504895
Sum163
Variance1189.9015
MonotonicityNot monotonic
2024-05-11T16:11:47.237469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 3
 
7.1%
3 3
 
7.1%
6 2
 
4.8%
1 2
 
4.8%
5 1
 
2.4%
123 1
 
2.4%
(Missing) 30
71.4%
ValueCountFrequency (%)
1 2
4.8%
3 3
7.1%
4 3
7.1%
5 1
 
2.4%
6 2
4.8%
123 1
 
2.4%
ValueCountFrequency (%)
123 1
 
2.4%
6 2
4.8%
5 1
 
2.4%
4 3
7.1%
3 3
7.1%
1 2
4.8%

지하층수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
26 
1
13 
2
 
2
11
 
1

Length

Max length4
Median length4
Mean length2.8809524
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
61.9%
1 13
31.0%
2 2
 
4.8%
11 1
 
2.4%

Length

2024-05-11T16:11:47.356540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:47.467266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
61.9%
1 13
31.0%
2 2
 
4.8%
11 1
 
2.4%

건물용도명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
27 
근린생활시설
15 

Length

Max length6
Median length4
Mean length4.7142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
64.3%
근린생활시설 15
35.7%

Length

2024-05-11T16:11:47.586017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:47.695294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
64.3%
근린생활시설 15
35.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing36
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean63.166667
Minimum12
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T16:11:47.780521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12.25
Q125
median65
Q384
95-th percentile123.5
Maximum135
Range123
Interquartile range (IQR)59

Descriptive statistics

Standard deviation46.905934
Coefficient of variation (CV)0.74257416
Kurtosis-0.42811758
Mean63.166667
Median Absolute Deviation (MAD)38
Skewness0.37174266
Sum379
Variance2200.1667
MonotonicityNot monotonic
2024-05-11T16:11:47.876153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
12 1
 
2.4%
13 1
 
2.4%
89 1
 
2.4%
135 1
 
2.4%
61 1
 
2.4%
69 1
 
2.4%
(Missing) 36
85.7%
ValueCountFrequency (%)
12 1
2.4%
13 1
2.4%
61 1
2.4%
69 1
2.4%
89 1
2.4%
135 1
2.4%
ValueCountFrequency (%)
135 1
2.4%
89 1
2.4%
69 1
2.4%
61 1
2.4%
13 1
2.4%
12 1
2.4%

기존게임업외업종명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing37
Missing (%)88.1%
Memory size468.0 B
2024-05-11T16:11:48.030508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length11.8
Min length5

Characters and Unicode

Total characters59
Distinct characters39
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

Unique5 ?
Unique (%)100.0%

Sample

1st row멀티방(1기기)게임,노래연습,영화감상
2nd row와우2 (아케이드게임),PC방
3rd row복합유통게임시설제공업
4th row기타유원시설업
5th row유원시설업
ValueCountFrequency (%)
멀티방(1기기)게임,노래연습,영화감상 1
16.7%
와우2 1
16.7%
아케이드게임),pc방 1
16.7%
복합유통게임시설제공업 1
16.7%
기타유원시설업 1
16.7%
유원시설업 1
16.7%
2024-05-11T16:11:48.363408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 3
 
5.1%
게 3
 
5.1%
시 3
 
5.1%
설 3
 
5.1%
업 3
 
5.1%
, 3
 
5.1%
유 3
 
5.1%
기 3
 
5.1%
) 2
 
3.4%
( 2
 
3.4%
Other values (29) 31
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
79.7%
Other Punctuation 3
 
5.1%
Close Punctuation 2
 
3.4%
Open Punctuation 2
 
3.4%
Uppercase Letter 2
 
3.4%
Decimal Number 2
 
3.4%
Space Separator 1
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 3
 
6.4%
게 3
 
6.4%
시 3
 
6.4%
설 3
 
6.4%
업 3
 
6.4%
유 3
 
6.4%
기 3
 
6.4%
방 2
 
4.3%
원 2
 
4.3%
합 1
 
2.1%
Other values (21) 21
44.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
79.7%
Common 10
 
16.9%
Latin 2
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 3
 
6.4%
게 3
 
6.4%
시 3
 
6.4%
설 3
 
6.4%
업 3
 
6.4%
유 3
 
6.4%
기 3
 
6.4%
방 2
 
4.3%
원 2
 
4.3%
합 1
 
2.1%
Other values (21) 21
44.7%
Common
ValueCountFrequency (%)
, 3
30.0%
) 2
20.0%
( 2
20.0%
1
 
10.0%
2 1
 
10.0%
1 1
 
10.0%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
79.7%
ASCII 12
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 3
 
6.4%
게 3
 
6.4%
시 3
 
6.4%
설 3
 
6.4%
업 3
 
6.4%
유 3
 
6.4%
기 3
 
6.4%
방 2
 
4.3%
원 2
 
4.3%
합 1
 
2.1%
Other values (21) 21
44.7%
ASCII
ValueCountFrequency (%)
, 3
25.0%
) 2
16.7%
( 2
16.7%
P 1
 
8.3%
C 1
 
8.3%
1
 
8.3%
2 1
 
8.3%
1 1
 
8.3%

제공게임물명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
전체이용가
27 
<NA>
15 

Length

Max length5
Median length5
Mean length4.6428571
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 (%)
전체이용가 27
64.3%
<NA> 15
35.7%

Length

2024-05-11T16:11:48.490187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:48.615979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 27
64.3%
na 15
35.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

지역구분명
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
32 
일반주거지역
7 
주거지역
 
2
상업지역
 
1

Length

Max length6
Median length4
Mean length4.3333333
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
76.2%
일반주거지역 7
 
16.7%
주거지역 2
 
4.8%
상업지역 1
 
2.4%

Length

2024-05-11T16:11:48.745944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:11:48.863566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
76.2%
일반주거지역 7
 
16.7%
주거지역 2
 
4.8%
상업지역 1
 
2.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF224103200100000120011114<NA>3폐업3폐업20020316<NA><NA><NA><NA><NA>135872서울특별시 강남구 삼성동 100-1번지서울특별시 강남구 봉은사로111길 22-2 (삼성동)<NA>게임천국2006-09-22 19:44:43I2018-08-31 23:59:59.0<NA>205707.16702446049.853288복합유통게임제공업유통관련업<NA><NA><NA>39.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF224103200200000120020703<NA>3폐업3폐업20060508<NA><NA><NA><NA><NA>135825서울특별시 강남구 논현동 144번지 지상2층서울특별시 강남구 강남대로128길 10 (논현동,지상2층)<NA>해피넷멀티방2006-09-22 19:38:44I2018-08-31 23:59:59.0<NA>201972.436484445286.189676복합유통게임제공업유통관련업<NA><NA><NA>339.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF224103200300000120030811<NA>3폐업3폐업20071231<NA><NA><NA>542-1775<NA>135833서울특별시 강남구 논현동 267-2번지서울특별시 강남구 선릉로 639 (논현동)<NA>게임숲2007-12-31 16:47:48I2018-08-31 23:59:59.0<NA>203670.794185445699.827134복합유통게임제공업유통관련업7주택가주변<NA>270.7161근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
33220000CDFF224103200400000120040210<NA>3폐업3폐업20101011<NA><NA><NA>02.552.2649<NA><NA>서울특별시 강남구 대치동 990-1번지 지상4층서울특별시 강남구 도곡로 520 (대치동,지상4층)<NA>메가웹스테이션2010-10-11 10:23:30I2018-08-31 23:59:59.0<NA>205540.465914444135.759964복합유통게임제공업유통관련업4<NA><NA>195.2541근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
43220000CDFF224103200400000220040422<NA>3폐업3폐업20071231<NA><NA><NA>02-541-2520<NA>135957서울특별시 강남구 청담동 132-15번지 지하1층서울특별시 강남구 학동로101길 19 (청담동,지하1층)<NA>미라클 인터넷 플라자 태양왕2007-12-31 16:49:21I2018-08-31 23:59:59.0<NA>204987.985446601.75복합유통게임제공업유통관련업5<NA><NA>182.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFF224103200400000320041129<NA>3폐업3폐업20071121<NA><NA><NA>02-557-6370<NA>135928서울특별시 강남구 역삼동 773-7번지 지하1층서울특별시 강남구 언주로 325 (역삼동,지하1층)<NA>싸이버리아 복합유통제공업2007-11-23 20:47:49I2018-08-31 23:59:59.0<NA>203908.905443857.465복합유통게임제공업유통관련업6<NA><NA>214.562근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF224103200400000420041021<NA>4취소/말소/만료/정지/중지35직권말소20080829<NA><NA><NA>02-561-7570<NA>135500서울특별시 강남구 대치동 1019-12번지 지하1층서울특별시 강남구 삼성로 229 (대치동,지하1층)<NA>아마존2009-02-02 09:48:02I2018-08-31 23:59:59.0<NA>205336.355443934.37복합유통게임제공업유통관련업3<NA><NA>206.431근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF224103200700000120071123<NA>4취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA>135928서울특별시 강남구 역삼동 773-7번지 지하1층서울특별시 강남구 언주로 325 (역삼동,지하1층)<NA>싸이버리라2008-02-19 16:03:51I2018-08-31 23:59:59.0<NA>203908.905443857.465복합유통게임제공업유통관련업<NA>기타<NA>214.5<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
83220000CDFF224103200700000220071126<NA>3폐업3폐업20111115<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 773-7번지 지하1층서울특별시 강남구 언주로 325 (역삼동,지하1층)<NA>싸이버리아2011-11-15 22:35:59I2018-08-31 23:59:59.0<NA>203908.905443857.465복합유통게임제공업유통관련업<NA>기타<NA>214.5<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
93220000CDFF224103200900000120090115<NA>3폐업3폐업20201014<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 1019-12 지하1층서울특별시 강남구 삼성로 229 (대치동, 대하빌딩)6279콩코스PC방2020-10-14 09:48:54U2020-10-16 02:40:00.0<NA>205336.355443934.37복합유통게임제공업유통관련업<NA><NA><NA>334.27<NA>1<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
323220000CDFF22410320180000012018-07-02<NA>3폐업3폐업2023-06-02<NA><NA><NA>02-518-1161<NA><NA>서울특별시 강남구 논현동 235-13 KTS빌딩서울특별시 강남구 봉은사로 215, KTS빌딩 지하1층 (논현동)6109REFUSE2023-06-09 09:25:43U2022-12-05 23:01:00.0<NA>203074.684011445098.521749<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333220000CDFF224103201800000220180712<NA>3폐업3폐업20190315<NA><NA><NA>070-5157-6552<NA><NA>서울특별시 강남구 역삼동 815번지 점프밀라노서울특별시 강남구 강남대로 432, 점프밀라노 5층 (역삼동)6129엔터VR카페 강남역점2019-03-15 14:34:26U2019-03-17 02:40:00.0<NA>202271.694938444339.880974복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)199.4<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>
343220000CDFF224103201800000320180914<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 797-15서울특별시 강남구 논현로67길 6, 지하1층 (역삼동)6248아레나 피씨2021-03-09 15:31:18U2021-03-11 02:40:00.0<NA>203417.693389443582.397476복합유통게임제공업유통관련업1<NA>휴게음식점245.1<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>
353220000CDFF224103201800000420181129<NA>3폐업3폐업20200310<NA><NA><NA>18878870<NA><NA>서울특별시 강남구 역삼동 826-21번지 미왕빌딩서울특별시 강남구 강남대로 364, 미왕빌딩 B1,1,2,3층 (역삼동)6241브이알스테이션 강남점2020-03-10 09:38:12U2020-03-12 02:40:00.0<NA>202520.618827443705.64826복합유통게임제공업유통관련업4<NA><NA>2136.3531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타유원시설업<NA><NA><NA><NA><NA>
363220000CDFF224103201900000120190122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 411-14 유일빌딩서울특별시 강남구 남부순환로 2728, 유일빌딩 지하1층 (도곡동)6296아레나 PC방2020-12-01 11:10:51U2020-12-03 02:40:00.0<NA>203851.702886442606.195244복합유통게임제공업유통관련업<NA><NA>휴게음식점292.58<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373220000CDFF224103201900000220190705<NA>3폐업3폐업20200129<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 819번지 B1층서울특별시 강남구 강남대로94길 10, B1층 (역삼동)6134KONG VR 강남역점2020-01-30 10:33:06U2020-02-01 02:40:00.0<NA>202423.773139444111.046933복합유통게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>유원시설업전체이용가<NA><NA><NA>상업지역
383220000CDFF224103201900000320190927<NA>3폐업3폐업20201207<NA><NA><NA>025535670<NA><NA>서울특별시 강남구 역삼동 722 경남아파트 지하1층서울특별시 강남구 언주로85길 13, 지하1층 (역삼동, 경남아파트)6222역삼볼링시티2020-12-07 09:22:13U2020-12-09 02:40:00.0<NA>203671.645687444263.075194복합유통게임제공업유통관련업<NA><NA><NA>128.09<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>
393220000CDFF22410320210000012021-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 816-4서울특별시 강남구 강남대로96길 5 (역삼동)6129와와오락실2023-10-06 13:43:36U2022-10-31 00:08:00.0<NA>202357.917704444180.184155<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403220000CDFF224103202200000120220830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 159 코엑스서울특별시 강남구 영동대로 513, 코엑스 B2층 K203A호 (삼성동)6164펀시티2022-08-30 11:11:18I2021-12-09 00:01:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413220000CDFF22410320230000012023-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 159 코엑스인터콘티넨탈서울서울특별시 강남구 봉은사로 524, 코엑스인터콘티넨탈서울 지하2층 (삼성동)6164브릭스 펀 랜드2024-01-29 17:20:04U2023-11-30 21:01:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>