Overview

Dataset statistics

Number of variables4
Number of observations150
Missing cells135
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory32.9 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구_게임제공업현황_20210610
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15045445

Alerts

전화번호 has 135 (90.0%) missing valuesMissing

Reproduction

Analysis started2024-04-21 08:11:21.295752
Analysis finished2024-04-21 08:11:22.174094
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
인터넷컴퓨터게임시설제공업
85 
청소년게임제공업
36 
게임물제작업
16 
게임물배급업
 
6
복합유통게임제공업
 
5

Length

Max length13
Median length13
Mean length10.56
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 85
56.7%
청소년게임제공업 36
24.0%
게임물제작업 16
 
10.7%
게임물배급업 6
 
4.0%
복합유통게임제공업 5
 
3.3%
일반게임제공업 2
 
1.3%

Length

2024-04-21T17:11:22.405774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:11:22.757897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 85
56.7%
청소년게임제공업 36
24.0%
게임물제작업 16
 
10.7%
게임물배급업 6
 
4.0%
복합유통게임제공업 5
 
3.3%
일반게임제공업 2
 
1.3%

상호
Text

Distinct145
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T17:11:23.518055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length7.6533333
Min length2

Characters and Unicode

Total characters1148
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)93.3%

Sample

1st rowPc.Cook
2nd rowPC SHARP
3rd row라네이즈
4th row프렌즈PC방
5th row업타운PC
ValueCountFrequency (%)
pc 26
 
10.5%
pc방 15
 
6.1%
주식회사 5
 
2.0%
cafe 5
 
2.0%
ox 4
 
1.6%
경성대점 3
 
1.2%
부경대점 3
 
1.2%
2
 
0.8%
3pop 2
 
0.8%
용호점 2
 
0.8%
Other values (172) 180
72.9%
2024-04-21T17:11:24.679794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
8.4%
C 88
 
7.7%
P 88
 
7.7%
방 42
 
3.7%
이 31
 
2.7%
점 24
 
2.1%
스 22
 
1.9%
드 18
 
1.6%
( 17
 
1.5%
) 17
 
1.5%
Other values (227) 704
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
58.4%
Uppercase Letter 287
25.0%
Space Separator 97
 
8.4%
Lowercase Letter 45
 
3.9%
Open Punctuation 17
 
1.5%
Close Punctuation 17
 
1.5%
Decimal Number 10
 
0.9%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 42
 
6.3%
이 31
 
4.6%
점 24
 
3.6%
스 22
 
3.3%
드 18
 
2.7%
임 17
 
2.5%
게 17
 
2.5%
대 17
 
2.5%
아 16
 
2.4%
주 15
 
2.2%
Other values (177) 452
67.4%
Uppercase Letter
ValueCountFrequency (%)
C 88
30.7%
P 88
30.7%
O 14
 
4.9%
N 12
 
4.2%
A 10
 
3.5%
I 9
 
3.1%
R 9
 
3.1%
X 6
 
2.1%
S 6
 
2.1%
E 6
 
2.1%
Other values (14) 39
13.6%
Lowercase Letter
ValueCountFrequency (%)
a 8
17.8%
c 7
15.6%
f 4
8.9%
t 4
8.9%
o 4
8.9%
e 4
8.9%
p 3
 
6.7%
r 2
 
4.4%
l 2
 
4.4%
k 2
 
4.4%
Other values (5) 5
11.1%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
1 2
20.0%
0 2
20.0%
2 1
 
10.0%
4 1
 
10.0%
6 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
58.4%
Latin 332
28.9%
Common 145
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 42
 
6.3%
이 31
 
4.6%
점 24
 
3.6%
스 22
 
3.3%
드 18
 
2.7%
임 17
 
2.5%
게 17
 
2.5%
대 17
 
2.5%
아 16
 
2.4%
주 15
 
2.2%
Other values (177) 452
67.4%
Latin
ValueCountFrequency (%)
C 88
26.5%
P 88
26.5%
O 14
 
4.2%
N 12
 
3.6%
A 10
 
3.0%
I 9
 
2.7%
R 9
 
2.7%
a 8
 
2.4%
c 7
 
2.1%
X 6
 
1.8%
Other values (29) 81
24.4%
Common
ValueCountFrequency (%)
97
66.9%
( 17
 
11.7%
) 17
 
11.7%
3 3
 
2.1%
1 2
 
1.4%
0 2
 
1.4%
. 2
 
1.4%
& 2
 
1.4%
2 1
 
0.7%
4 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 668
58.2%
ASCII 477
41.6%
Compat Jamo 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
20.3%
C 88
18.4%
P 88
18.4%
( 17
 
3.6%
) 17
 
3.6%
O 14
 
2.9%
N 12
 
2.5%
A 10
 
2.1%
I 9
 
1.9%
R 9
 
1.9%
Other values (40) 116
24.3%
Hangul
ValueCountFrequency (%)
방 42
 
6.3%
이 31
 
4.6%
점 24
 
3.6%
스 22
 
3.3%
드 18
 
2.7%
임 17
 
2.5%
게 17
 
2.5%
대 17
 
2.5%
아 16
 
2.4%
주 15
 
2.2%
Other values (176) 449
67.2%
Compat Jamo
ValueCountFrequency (%)
ㅋ 3
100.0%

영업소소재지(도로명)
Text

Distinct144
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T17:11:26.040977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42.5
Mean length30.286667
Min length20

Characters and Unicode

Total characters4543
Distinct characters158
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)92.0%

Sample

1st row부산광역시 남구 수영로 33, 3층 (문현동)
2nd row부산광역시 남구 수영로 21-1, 2층 (문현동)
3rd row부산광역시 남구 유엔로183번길 9 (대연동)
4th row부산광역시 남구 유엔로157번길 95, 2층 (대연동, 부성빌딩)
5th row부산광역시 남구 수영로 31, 3층 (문현동)
ValueCountFrequency (%)
부산광역시 150
 
16.0%
남구 150
 
16.0%
대연동 94
 
10.0%
2층 33
 
3.5%
수영로 30
 
3.2%
용호동 25
 
2.7%
문현동 18
 
1.9%
3층 15
 
1.6%
용소로13번길 14
 
1.5%
1층 13
 
1.4%
Other values (222) 395
42.2%
2024-04-21T17:11:27.351215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
787
 
17.3%
1 203
 
4.5%
동 170
 
3.7%
시 159
 
3.5%
남 155
 
3.4%
부 151
 
3.3%
로 151
 
3.3%
산 151
 
3.3%
( 150
 
3.3%
역 150
 
3.3%
Other values (148) 2316
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2546
56.0%
Space Separator 787
 
17.3%
Decimal Number 725
 
16.0%
Open Punctuation 150
 
3.3%
Close Punctuation 150
 
3.3%
Other Punctuation 147
 
3.2%
Dash Punctuation 22
 
0.5%
Uppercase Letter 15
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
6.7%
시 159
 
6.2%
남 155
 
6.1%
부 151
 
5.9%
로 151
 
5.9%
산 151
 
5.9%
역 150
 
5.9%
구 150
 
5.9%
광 150
 
5.9%
대 109
 
4.3%
Other values (122) 1050
41.2%
Decimal Number
ValueCountFrequency (%)
1 203
28.0%
2 117
16.1%
3 105
14.5%
4 55
 
7.6%
0 51
 
7.0%
5 46
 
6.3%
6 41
 
5.7%
8 37
 
5.1%
7 35
 
4.8%
9 35
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
20.0%
A 3
20.0%
I 2
13.3%
P 1
 
6.7%
N 1
 
6.7%
S 1
 
6.7%
O 1
 
6.7%
V 1
 
6.7%
Z 1
 
6.7%
L 1
 
6.7%
Space Separator
ValueCountFrequency (%)
787
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Other Punctuation
ValueCountFrequency (%)
, 147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2546
56.0%
Common 1982
43.6%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
6.7%
시 159
 
6.2%
남 155
 
6.1%
부 151
 
5.9%
로 151
 
5.9%
산 151
 
5.9%
역 150
 
5.9%
구 150
 
5.9%
광 150
 
5.9%
대 109
 
4.3%
Other values (122) 1050
41.2%
Common
ValueCountFrequency (%)
787
39.7%
1 203
 
10.2%
( 150
 
7.6%
) 150
 
7.6%
, 147
 
7.4%
2 117
 
5.9%
3 105
 
5.3%
4 55
 
2.8%
0 51
 
2.6%
5 46
 
2.3%
Other values (6) 171
 
8.6%
Latin
ValueCountFrequency (%)
B 3
20.0%
A 3
20.0%
I 2
13.3%
P 1
 
6.7%
N 1
 
6.7%
S 1
 
6.7%
O 1
 
6.7%
V 1
 
6.7%
Z 1
 
6.7%
L 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2546
56.0%
ASCII 1997
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
787
39.4%
1 203
 
10.2%
( 150
 
7.5%
) 150
 
7.5%
, 147
 
7.4%
2 117
 
5.9%
3 105
 
5.3%
4 55
 
2.8%
0 51
 
2.6%
5 46
 
2.3%
Other values (16) 186
 
9.3%
Hangul
ValueCountFrequency (%)
동 170
 
6.7%
시 159
 
6.2%
남 155
 
6.1%
부 151
 
5.9%
로 151
 
5.9%
산 151
 
5.9%
역 150
 
5.9%
구 150
 
5.9%
광 150
 
5.9%
대 109
 
4.3%
Other values (122) 1050
41.2%

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing135
Missing (%)90.0%
Memory size1.3 KiB
2024-04-21T17:11:27.929783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11
Min length8

Characters and Unicode

Total characters165
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

Unique15 ?
Unique (%)100.0%

Sample

1st row624-0025
2nd row051-625-4006
3rd row622-6677
4th row051-626-0632
5th row051-621-1178
ValueCountFrequency (%)
624-0025 1
 
6.7%
051-625-4006 1
 
6.7%
622-6677 1
 
6.7%
051-626-0632 1
 
6.7%
051-621-1178 1
 
6.7%
051-623-8663 1
 
6.7%
051-610-1163 1
 
6.7%
051-610-1552 1
 
6.7%
051-610-0901 1
 
6.7%
1661-3511 1
 
6.7%
Other values (5) 5
33.3%
2024-04-21T17:11:28.748671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27
16.4%
- 26
15.8%
0 24
14.5%
6 23
13.9%
5 22
13.3%
2 19
11.5%
3 7
 
4.2%
7 6
 
3.6%
4 5
 
3.0%
9 4
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
84.2%
Dash Punctuation 26
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
19.4%
0 24
17.3%
6 23
16.5%
5 22
15.8%
2 19
13.7%
3 7
 
5.0%
7 6
 
4.3%
4 5
 
3.6%
9 4
 
2.9%
8 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27
16.4%
- 26
15.8%
0 24
14.5%
6 23
13.9%
5 22
13.3%
2 19
11.5%
3 7
 
4.2%
7 6
 
3.6%
4 5
 
3.0%
9 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27
16.4%
- 26
15.8%
0 24
14.5%
6 23
13.9%
5 22
13.3%
2 19
11.5%
3 7
 
4.2%
7 6
 
3.6%
4 5
 
3.0%
9 4
 
2.4%

Correlations

2024-04-21T17:11:28.895218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명전화번호
업종명1.0001.000
전화번호1.0001.000

Missing values

2024-04-21T17:11:21.791416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:11:22.066466image/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

업종명상호영업소소재지(도로명)전화번호
0인터넷컴퓨터게임시설제공업Pc.Cook부산광역시 남구 수영로 33, 3층 (문현동)<NA>
1인터넷컴퓨터게임시설제공업PC SHARP부산광역시 남구 수영로 21-1, 2층 (문현동)<NA>
2인터넷컴퓨터게임시설제공업라네이즈부산광역시 남구 유엔로183번길 9 (대연동)<NA>
3인터넷컴퓨터게임시설제공업프렌즈PC방부산광역시 남구 유엔로157번길 95, 2층 (대연동, 부성빌딩)<NA>
4인터넷컴퓨터게임시설제공업업타운PC부산광역시 남구 수영로 31, 3층 (문현동)<NA>
5인터넷컴퓨터게임시설제공업스펀지PC방부산광역시 남구 용소로7번길 40 (대연동)<NA>
6인터넷컴퓨터게임시설제공업아우토반PC방부산광역시 남구 신정번영로 25 (대연동)<NA>
7인터넷컴퓨터게임시설제공업우리동네PC방부산광역시 남구 동명로 126 (용호동)<NA>
8인터넷컴퓨터게임시설제공업레인보우 PC방부산광역시 남구 석포로 21 (감만동)<NA>
9인터넷컴퓨터게임시설제공업바닐라PC방부산광역시 남구 장고개로 108 (문현동)<NA>
업종명상호영업소소재지(도로명)전화번호
140청소년게임제공업D오락실부산광역시 남구 수영로298번길 10, 1층2층3층 (대연동)<NA>
141청소년게임제공업모찌게임장부산광역시 남구 수영로250번길 22, 1층 (대연동)<NA>
142청소년게임제공업퍼니2 인형샵부산광역시 남구 동명로158번길 104, 104호 (용호동)<NA>
143청소년게임제공업장난감 세상부산광역시 남구 동명로 129, 1층 (용호동)<NA>
144청소년게임제공업인형뽑기놀이(부산문현점)부산광역시 남구 지게골로 31, 137,144호 (문현동, 문현상가)<NA>
145청소년게임제공업PICK ME PICK ME부산광역시 남구 용소로13번길 26, 스카이빌딩 1층 103호 (대연동)<NA>
146청소년게임제공업세븐게임랜드부산광역시 남구 용소로28번길 15, 유스빌딩 (대연동)<NA>
147청소년게임제공업문현뽑기방부산광역시 남구 고동골로 6, 1층 (문현동)<NA>
148청소년게임제공업뽀끼노리부산광역시 남구 동명로 113 (용호동)<NA>
149청소년게임제공업히트다히트부산광역시 남구 수영로298번길 41, 1층 (대연동)<NA>