Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory42.6 B

Variable types

Categorical1
DateTime2
Text2

Dataset

Description부산광역시영도구_게임산업현황_20221019
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15039869

Alerts

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

Reproduction

Analysis started2023-12-10 16:25:07.704355
Analysis finished2023-12-10 16:25:08.211538
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
인터넷컴퓨터게임시설제공업
30 
일반게임제공업
청소년게임제공업
게임물제작업
복합유통게임제공업
 
1

Length

Max length13
Median length13
Mean length10.588235
Min length6

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 30
58.8%
일반게임제공업 9
 
17.6%
청소년게임제공업 6
 
11.8%
게임물제작업 4
 
7.8%
복합유통게임제공업 1
 
2.0%
게임물배급업 1
 
2.0%

Length

2023-12-11T01:25:08.302093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:25:08.433187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 30
58.8%
일반게임제공업 9
 
17.6%
청소년게임제공업 6
 
11.8%
게임물제작업 4
 
7.8%
복합유통게임제공업 1
 
2.0%
게임물배급업 1
 
2.0%
Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2002-01-11 00:00:00
Maximum2022-08-16 00:00:00
2023-12-11T01:25:08.564181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:25:08.695557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

업체명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:25:08.900317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.3333333
Min length2

Characters and Unicode

Total characters374
Distinct characters129
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

Unique51 ?
Unique (%)100.0%

Sample

1st row아망떼 PC ZONE
2nd row아이닉스 PC
3rd row아로스피시방 부산영도대교점
4th row누네띠넷 PC랜드
5th row마이다스 PC방
ValueCountFrequency (%)
pc 10
 
12.3%
pc방 4
 
4.9%
게임랜드 3
 
3.7%
zone 2
 
2.5%
미광컴퓨터게임장 1
 
1.2%
투엔(주 1
 
1.2%
미니스톤 1
 
1.2%
펄스 1
 
1.2%
주식회사 1
 
1.2%
주)위플라이엔터테인먼트 1
 
1.2%
Other values (56) 56
69.1%
2023-12-11T01:25:09.225535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
8.0%
C 25
 
6.7%
P 24
 
6.4%
14
 
3.7%
13
 
3.5%
13
 
3.5%
12
 
3.2%
12
 
3.2%
12
 
3.2%
9
 
2.4%
Other values (119) 210
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
68.2%
Uppercase Letter 64
 
17.1%
Space Separator 30
 
8.0%
Lowercase Letter 14
 
3.7%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
5.5%
13
 
5.1%
13
 
5.1%
12
 
4.7%
12
 
4.7%
12
 
4.7%
9
 
3.5%
8
 
3.1%
5
 
2.0%
5
 
2.0%
Other values (93) 152
59.6%
Uppercase Letter
ValueCountFrequency (%)
C 25
39.1%
P 24
37.5%
L 2
 
3.1%
I 2
 
3.1%
N 2
 
3.1%
O 2
 
3.1%
V 1
 
1.6%
A 1
 
1.6%
J 1
 
1.6%
B 1
 
1.6%
Other values (3) 3
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
21.4%
e 2
14.3%
g 2
14.3%
o 2
14.3%
i 1
 
7.1%
u 1
 
7.1%
z 1
 
7.1%
c 1
 
7.1%
p 1
 
7.1%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
68.2%
Latin 78
 
20.9%
Common 41
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
5.5%
13
 
5.1%
13
 
5.1%
12
 
4.7%
12
 
4.7%
12
 
4.7%
9
 
3.5%
8
 
3.1%
5
 
2.0%
5
 
2.0%
Other values (93) 152
59.6%
Latin
ValueCountFrequency (%)
C 25
32.1%
P 24
30.8%
n 3
 
3.8%
e 2
 
2.6%
L 2
 
2.6%
I 2
 
2.6%
N 2
 
2.6%
O 2
 
2.6%
g 2
 
2.6%
o 2
 
2.6%
Other values (12) 12
15.4%
Common
ValueCountFrequency (%)
30
73.2%
( 5
 
12.2%
) 5
 
12.2%
2 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
68.2%
ASCII 119
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
25.2%
C 25
21.0%
P 24
20.2%
( 5
 
4.2%
) 5
 
4.2%
n 3
 
2.5%
e 2
 
1.7%
L 2
 
1.7%
I 2
 
1.7%
N 2
 
1.7%
Other values (16) 19
16.0%
Hangul
ValueCountFrequency (%)
14
 
5.5%
13
 
5.1%
13
 
5.1%
12
 
4.7%
12
 
4.7%
12
 
4.7%
9
 
3.5%
8
 
3.1%
5
 
2.0%
5
 
2.0%
Other values (93) 152
59.6%

소재지
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:25:09.524189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length30.078431
Min length22

Characters and Unicode

Total characters1534
Distinct characters84
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

Unique51 ?
Unique (%)100.0%

Sample

1st row부산광역시 영도구 청학로 89 (청학동)
2nd row부산광역시 영도구 동삼로28번길 4 (동삼동)
3rd row부산광역시 영도구 태종로 98 (대교동2가)
4th row부산광역시 영도구 다복솔길 2 (신선동1가)
5th row부산광역시 영도구 태종로 139 (봉래동3가)
ValueCountFrequency (%)
부산광역시 51
 
17.6%
영도구 51
 
17.6%
태종로 12
 
4.2%
2층 9
 
3.1%
동삼동 8
 
2.8%
대교동2가 8
 
2.8%
절영로13번길 7
 
2.4%
절영로 6
 
2.1%
봉래동2가 5
 
1.7%
동삼로 4
 
1.4%
Other values (96) 128
44.3%
2023-12-11T01:25:09.928779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
15.8%
82
 
5.3%
67
 
4.4%
55
 
3.6%
52
 
3.4%
) 52
 
3.4%
( 52
 
3.4%
52
 
3.4%
51
 
3.3%
51
 
3.3%
Other values (74) 778
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
58.6%
Decimal Number 249
 
16.2%
Space Separator 242
 
15.8%
Close Punctuation 52
 
3.4%
Open Punctuation 52
 
3.4%
Other Punctuation 35
 
2.3%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
 
9.1%
67
 
7.5%
55
 
6.1%
52
 
5.8%
52
 
5.8%
51
 
5.7%
51
 
5.7%
51
 
5.7%
51
 
5.7%
48
 
5.3%
Other values (59) 339
37.7%
Decimal Number
ValueCountFrequency (%)
1 51
20.5%
2 50
20.1%
3 42
16.9%
7 19
 
7.6%
5 18
 
7.2%
4 16
 
6.4%
9 15
 
6.0%
0 14
 
5.6%
6 13
 
5.2%
8 11
 
4.4%
Space Separator
ValueCountFrequency (%)
242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
58.6%
Common 635
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
 
9.1%
67
 
7.5%
55
 
6.1%
52
 
5.8%
52
 
5.8%
51
 
5.7%
51
 
5.7%
51
 
5.7%
51
 
5.7%
48
 
5.3%
Other values (59) 339
37.7%
Common
ValueCountFrequency (%)
242
38.1%
) 52
 
8.2%
( 52
 
8.2%
1 51
 
8.0%
2 50
 
7.9%
3 42
 
6.6%
, 35
 
5.5%
7 19
 
3.0%
5 18
 
2.8%
4 16
 
2.5%
Other values (5) 58
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
58.6%
ASCII 635
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
38.1%
) 52
 
8.2%
( 52
 
8.2%
1 51
 
8.0%
2 50
 
7.9%
3 42
 
6.6%
, 35
 
5.5%
7 19
 
3.0%
5 18
 
2.8%
4 16
 
2.5%
Other values (5) 58
 
9.1%
Hangul
ValueCountFrequency (%)
82
 
9.1%
67
 
7.5%
55
 
6.1%
52
 
5.8%
52
 
5.8%
51
 
5.7%
51
 
5.7%
51
 
5.7%
51
 
5.7%
48
 
5.3%
Other values (59) 339
37.7%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2022-10-19 00:00:00
Maximum2022-10-19 00:00:00
2023-12-11T01:25:10.028857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:25:10.110795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T01:25:10.171551image/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

2023-12-11T01:25:08.001028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:25:08.146466image/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
0인터넷컴퓨터게임시설제공업2007-06-22아망떼 PC ZONE부산광역시 영도구 청학로 89 (청학동)2022-10-19
1인터넷컴퓨터게임시설제공업2007-09-18아이닉스 PC부산광역시 영도구 동삼로28번길 4 (동삼동)2022-10-19
2인터넷컴퓨터게임시설제공업2007-09-20아로스피시방 부산영도대교점부산광역시 영도구 태종로 98 (대교동2가)2022-10-19
3인터넷컴퓨터게임시설제공업2007-09-28누네띠넷 PC랜드부산광역시 영도구 다복솔길 2 (신선동1가)2022-10-19
4인터넷컴퓨터게임시설제공업2007-10-23마이다스 PC방부산광역시 영도구 태종로 139 (봉래동3가)2022-10-19
5인터넷컴퓨터게임시설제공업2007-11-07J2 PC부산광역시 영도구 동삼로 74 (동삼동,지하1층)2022-10-19
6인터넷컴퓨터게임시설제공업2008-03-19올레 PC부산광역시 영도구 태종로 382 (청학동,4층)2022-10-19
7인터넷컴퓨터게임시설제공업2008-05-16PC이야기부산광역시 영도구 태종로 75, 2층 (대교동1가)2022-10-19
8인터넷컴퓨터게임시설제공업2008-05-22강타넷PC방부산광역시 영도구 태종로 750 (동삼동,3층)2022-10-19
9인터넷컴퓨터게임시설제공업2008-05-22피플pc부산광역시 영도구 절영로 117-3 (영선동3가)2022-10-19
구분등록(신고)일자업체명소재지기준일자
41일반게임제공업2020-09-29금복게임랜드부산광역시 영도구 태종로105번길 6, 3층 (영선동1가)2022-10-19
42일반게임제공업2021-11-09뉴마카오성인게임랜드부산광역시 영도구 남항로31번길 52, 2층 (대교동2가)2022-10-19
43일반게임제공업2022-05-19킹 게임랜드부산광역시 영도구 태조로89번길 13, 지하1층 (대교동2가)2022-10-19
44일반게임제공업2022-06-22태종대 게임랜드부산광역시 영도구 태종로 759, 신흥하리상가 301호 (동삼동)2022-10-19
45청소년게임제공업2008-07-30유진컴퓨터게임장부산광역시 영도구 절영로13번길 25 (봉래동2가)2022-10-19
46청소년게임제공업2008-11-24맘모스게임랜드부산광역시 영도구 태종로95번길 14 (대교동2가)2022-10-19
47청소년게임제공업2017-01-25추억의뽑기방부산광역시 영도구 태종로113번길 17, 1층 (영선동1가)2022-10-19
48청소년게임제공업2017-04-03뽀끼노리 영도점부산광역시 영도구 절영로35번길 36 (남항동1가)2022-10-19
49청소년게임제공업2021-01-13미금뽑기부산광역시 영도구 태종로83번길 20 (대교동2가)2022-10-19
50청소년게임제공업2021-02-26행운박스부산광역시 영도구 태종로73번길 22-1 (봉래동1가)2022-10-19