Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.3 B

Variable types

Categorical1
DateTime2
Text2

Dataset

Description부산광역시 영도구 관내에 위치한 게임업소의 유형, 등록일자, 업체명, 대표자, 소재지, 기준일자 등을 제공합니다.
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15039869/fileData.do

Alerts

기준일자 has constant value ""Constant
업체명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:28:25.719403
Analysis finished2023-12-12 06:28:26.116433
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
인터넷컴퓨터게임시설제공업
13 
일반게임제공업
청소년게임제공업
게임물제작업
복합유통게임제공업
 
1

Length

Max length13
Median length9
Mean length9.5806452
Min length6

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 13
41.9%
일반게임제공업 7
22.6%
청소년게임제공업 5
 
16.1%
게임물제작업 4
 
12.9%
복합유통게임제공업 1
 
3.2%
게임물배급업 1
 
3.2%

Length

2023-12-12T15:28:26.195637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:28:26.339185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 13
41.9%
일반게임제공업 7
22.6%
청소년게임제공업 5
 
16.1%
게임물제작업 4
 
12.9%
복합유통게임제공업 1
 
3.2%
게임물배급업 1
 
3.2%
Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2002-01-11 00:00:00
Maximum2023-06-16 00:00:00
2023-12-12T15:28:26.484044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:28:26.604411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업체명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T15:28:26.813355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.2903226
Min length4

Characters and Unicode

Total characters226
Distinct characters97
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

Unique31 ?
Unique (%)100.0%

Sample

1st row아로스피시방 부산영도대교점
2nd row올레 PC
3rd row강타넷PC방
4th row피플pc
5th row아일랜드 PC방
ValueCountFrequency (%)
pc 4
 
9.1%
게임랜드 3
 
6.8%
노리터 2
 
4.5%
아로스피시방 1
 
2.3%
1
 
2.3%
미니스톤 1
 
2.3%
투엔(주 1
 
2.3%
주)펄스 1
 
2.3%
삼성게임랜드 1
 
2.3%
해피게임랜드 1
 
2.3%
Other values (28) 28
63.6%
2023-12-12T15:28:27.285584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.8%
C 11
 
4.9%
P 11
 
4.9%
9
 
4.0%
9
 
4.0%
9
 
4.0%
9
 
4.0%
8
 
3.5%
7
 
3.1%
5
 
2.2%
Other values (87) 135
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
73.5%
Uppercase Letter 31
 
13.7%
Space Separator 13
 
5.8%
Lowercase Letter 6
 
2.7%
Open Punctuation 5
 
2.2%
Close Punctuation 5
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
5.4%
9
 
5.4%
9
 
5.4%
9
 
5.4%
8
 
4.8%
7
 
4.2%
5
 
3.0%
5
 
3.0%
4
 
2.4%
3
 
1.8%
Other values (69) 98
59.0%
Uppercase Letter
ValueCountFrequency (%)
C 11
35.5%
P 11
35.5%
I 2
 
6.5%
L 2
 
6.5%
A 1
 
3.2%
O 1
 
3.2%
V 1
 
3.2%
N 1
 
3.2%
B 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
n 1
16.7%
g 1
16.7%
e 1
16.7%
i 1
16.7%
c 1
16.7%
p 1
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
73.5%
Latin 37
 
16.4%
Common 23
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
5.4%
9
 
5.4%
9
 
5.4%
9
 
5.4%
8
 
4.8%
7
 
4.2%
5
 
3.0%
5
 
3.0%
4
 
2.4%
3
 
1.8%
Other values (69) 98
59.0%
Latin
ValueCountFrequency (%)
C 11
29.7%
P 11
29.7%
I 2
 
5.4%
L 2
 
5.4%
A 1
 
2.7%
n 1
 
2.7%
O 1
 
2.7%
V 1
 
2.7%
g 1
 
2.7%
N 1
 
2.7%
Other values (5) 5
13.5%
Common
ValueCountFrequency (%)
13
56.5%
( 5
 
21.7%
) 5
 
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
73.5%
ASCII 60
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
21.7%
C 11
18.3%
P 11
18.3%
( 5
 
8.3%
) 5
 
8.3%
I 2
 
3.3%
L 2
 
3.3%
A 1
 
1.7%
n 1
 
1.7%
O 1
 
1.7%
Other values (8) 8
13.3%
Hangul
ValueCountFrequency (%)
9
 
5.4%
9
 
5.4%
9
 
5.4%
9
 
5.4%
8
 
4.8%
7
 
4.2%
5
 
3.0%
5
 
3.0%
4
 
2.4%
3
 
1.8%
Other values (69) 98
59.0%

소재지
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T15:28:27.557410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length31.387097
Min length24

Characters and Unicode

Total characters973
Distinct characters78
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row부산광역시 영도구 태종로 98 (대교동2가)
2nd row부산광역시 영도구 태종로 382 (청학동,4층)
3rd row부산광역시 영도구 태종로 750 (동삼동,3층)
4th row부산광역시 영도구 절영로 117-3, 2층 (영선동3가)
5th row부산광역시 영도구 태종로 114 (영선동1가,외 3필지 2층)
ValueCountFrequency (%)
부산광역시 31
 
16.8%
영도구 31
 
16.8%
태종로 8
 
4.3%
2층 7
 
3.8%
대교동2가 7
 
3.8%
절영로 5
 
2.7%
71 4
 
2.2%
남항동2가 4
 
2.2%
동삼동 4
 
2.2%
절영로13번길 3
 
1.6%
Other values (69) 81
43.8%
2023-12-12T15:28:28.096037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
16.1%
49
 
5.0%
39
 
4.0%
2 38
 
3.9%
35
 
3.6%
1 32
 
3.3%
32
 
3.3%
32
 
3.3%
31
 
3.2%
31
 
3.2%
Other values (68) 497
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
58.4%
Space Separator 157
 
16.1%
Decimal Number 154
 
15.8%
Close Punctuation 31
 
3.2%
Open Punctuation 31
 
3.2%
Other Punctuation 29
 
3.0%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
8.6%
39
 
6.9%
35
 
6.2%
32
 
5.6%
32
 
5.6%
31
 
5.5%
31
 
5.5%
31
 
5.5%
31
 
5.5%
30
 
5.3%
Other values (53) 227
40.0%
Decimal Number
ValueCountFrequency (%)
2 38
24.7%
1 32
20.8%
3 26
16.9%
7 12
 
7.8%
4 9
 
5.8%
9 9
 
5.8%
5 8
 
5.2%
0 8
 
5.2%
8 7
 
4.5%
6 5
 
3.2%
Space Separator
ValueCountFrequency (%)
157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
58.4%
Common 405
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
8.6%
39
 
6.9%
35
 
6.2%
32
 
5.6%
32
 
5.6%
31
 
5.5%
31
 
5.5%
31
 
5.5%
31
 
5.5%
30
 
5.3%
Other values (53) 227
40.0%
Common
ValueCountFrequency (%)
157
38.8%
2 38
 
9.4%
1 32
 
7.9%
) 31
 
7.7%
( 31
 
7.7%
, 29
 
7.2%
3 26
 
6.4%
7 12
 
3.0%
4 9
 
2.2%
9 9
 
2.2%
Other values (5) 31
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
58.4%
ASCII 405
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
38.8%
2 38
 
9.4%
1 32
 
7.9%
) 31
 
7.7%
( 31
 
7.7%
, 29
 
7.2%
3 26
 
6.4%
7 12
 
3.0%
4 9
 
2.2%
9 9
 
2.2%
Other values (5) 31
 
7.7%
Hangul
ValueCountFrequency (%)
49
 
8.6%
39
 
6.9%
35
 
6.2%
32
 
5.6%
32
 
5.6%
31
 
5.5%
31
 
5.5%
31
 
5.5%
31
 
5.5%
30
 
5.3%
Other values (53) 227
40.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-10-05 00:00:00
Maximum2023-10-05 00:00:00
2023-12-12T15:28:28.226929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:28:28.349834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T15:28:28.461338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분등록(신고)일자업체명소재지
구분1.0000.0001.0001.000
등록(신고)일자0.0001.0001.0001.000
업체명1.0001.0001.0001.000
소재지1.0001.0001.0001.000

Missing values

2023-12-12T15:28:25.955845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:28:26.070879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분등록(신고)일자업체명소재지기준일자
0인터넷컴퓨터게임시설제공업2007-09-20아로스피시방 부산영도대교점부산광역시 영도구 태종로 98 (대교동2가)2023-10-05
1인터넷컴퓨터게임시설제공업2008-03-19올레 PC부산광역시 영도구 태종로 382 (청학동,4층)2023-10-05
2인터넷컴퓨터게임시설제공업2008-05-22강타넷PC방부산광역시 영도구 태종로 750 (동삼동,3층)2023-10-05
3인터넷컴퓨터게임시설제공업2008-05-22피플pc부산광역시 영도구 절영로 117-3, 2층 (영선동3가)2023-10-05
4인터넷컴퓨터게임시설제공업2008-07-31아일랜드 PC방부산광역시 영도구 태종로 114 (영선동1가,외 3필지 2층)2023-10-05
5인터넷컴퓨터게임시설제공업2013-08-22Big One PC부산광역시 영도구 태종로 759, 신흥하리상가 302호 (동삼동)2023-10-05
6인터넷컴퓨터게임시설제공업2014-10-06옥스PC(영도점)부산광역시 영도구 동삼로 89, 3층 (동삼동)2023-10-05
7인터넷컴퓨터게임시설제공업2014-12-23아이비스 PC부산광역시 영도구 태종로 139, 4층 (봉래동3가, 부산은행)2023-10-05
8인터넷컴퓨터게임시설제공업2018-07-06라이킷 PC부산광역시 영도구 동삼로 64, 1층 (동삼동)2023-10-05
9인터넷컴퓨터게임시설제공업2019-10-16아지트PC카페부산광역시 영도구 태종로 341-6 (청학동)2023-10-05
구분등록(신고)일자업체명소재지기준일자
21일반게임제공업2019-11-29노리터 게임랜드부산광역시 영도구 태종로 88, 2층 (대교동2가)2023-10-05
22일반게임제공업2022-05-19킹 게임랜드부산광역시 영도구 태종로89번길 13, 지하1층 (대교동2가)2023-10-05
23일반게임제공업2023-02-16노리터 투 게임랜드부산광역시 영도구 남항로 4, 2층 (남항동2가)2023-10-05
24일반게임제공업2023-05-11롯데성인오락실부산광역시 영도구 절영로35번길 5, 3층 (대교동2가)2023-10-05
25일반게임제공업2023-06-16유리게임랜드부산광역시 영도구 남항로 5, 지하1층 (남항동1가)2023-10-05
26청소년게임제공업2008-07-30유진컴퓨터게임장부산광역시 영도구 절영로13번길 25 (봉래동2가)2023-10-05
27청소년게임제공업2008-11-24맘모스게임랜드부산광역시 영도구 태종로95번길 14 (대교동2가)2023-10-05
28청소년게임제공업2017-01-25추억의뽑기방부산광역시 영도구 태종로113번길 17, 1층 (영선동1가)2023-10-05
29청소년게임제공업2021-01-13미금뽑기부산광역시 영도구 태종로83번길 20 (대교동2가)2023-10-05
30청소년게임제공업2021-02-26행운박스부산광역시 영도구 태종로73번길 22-1 (봉래동1가)2023-10-05