Overview

Dataset statistics

Number of variables6
Number of observations129
Missing cells165
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory50.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description경상남도 양산시에 있는 문화유통업 현황입니다. 제공되는 항목으로는 업종명, 상호, 도로명주소, 전화번호, 영업시간을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15105933

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
전화번호 has 66 (51.2%) missing valuesMissing
영업시간 has 99 (76.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:29:13.850163
Analysis finished2023-12-10 23:29:14.673171
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T08:29:14.729956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2023-12-11T08:29:14.841144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

업종명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
노래연습장업
84 
인터넷컴퓨터게임시설제공업
18 
청소년게임제공업
16 
복합유통게임제공업
10 
비디오물감상실업
 
1

Length

Max length13
Median length6
Mean length7.4728682
Min length6

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 84
65.1%
인터넷컴퓨터게임시설제공업 18
 
14.0%
청소년게임제공업 16
 
12.4%
복합유통게임제공업 10
 
7.8%
비디오물감상실업 1
 
0.8%

Length

2023-12-11T08:29:14.966744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:29:15.055912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 84
65.1%
인터넷컴퓨터게임시설제공업 18
 
14.0%
청소년게임제공업 16
 
12.4%
복합유통게임제공업 10
 
7.8%
비디오물감상실업 1
 
0.8%

상호
Text

Distinct123
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:29:15.260242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length7.620155
Min length3

Characters and Unicode

Total characters983
Distinct characters217
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

Unique119 ?
Unique (%)92.2%

Sample

1st row새소리노래연습장
2nd row설탕노래연습장
3rd row전국노래자랑노래연습장
4th row큐브 동전노래연습장
5th row고래고래노래연습장
ValueCountFrequency (%)
pc 8
 
5.0%
궁전노래연습장 3
 
1.9%
cook 3
 
1.9%
노래연습장 3
 
1.9%
동전노래연습장 3
 
1.9%
우리노래연습장 2
 
1.2%
타자고 2
 
1.2%
cafe 2
 
1.2%
pc방 2
 
1.2%
park 1
 
0.6%
Other values (132) 132
82.0%
2023-12-11T08:29:15.575962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 87
 
8.9%
노 86
 
8.7%
장 86
 
8.7%
연 84
 
8.5%
습 84
 
8.5%
32
 
3.3%
C 31
 
3.2%
P 26
 
2.6%
스 18
 
1.8%
O 15
 
1.5%
Other values (207) 434
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 813
82.7%
Uppercase Letter 120
 
12.2%
Space Separator 32
 
3.3%
Lowercase Letter 18
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 87
 
10.7%
노 86
 
10.6%
장 86
 
10.6%
연 84
 
10.3%
습 84
 
10.3%
스 18
 
2.2%
이 14
 
1.7%
전 11
 
1.4%
리 11
 
1.4%
산 11
 
1.4%
Other values (171) 321
39.5%
Uppercase Letter
ValueCountFrequency (%)
C 31
25.8%
P 26
21.7%
O 15
12.5%
S 5
 
4.2%
R 5
 
4.2%
E 5
 
4.2%
K 5
 
4.2%
T 3
 
2.5%
A 3
 
2.5%
M 3
 
2.5%
Other values (11) 19
15.8%
Lowercase Letter
ValueCountFrequency (%)
o 3
16.7%
s 2
11.1%
e 2
11.1%
c 1
 
5.6%
y 1
 
5.6%
a 1
 
5.6%
f 1
 
5.6%
k 1
 
5.6%
d 1
 
5.6%
r 1
 
5.6%
Other values (4) 4
22.2%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 813
82.7%
Latin 138
 
14.0%
Common 32
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 87
 
10.7%
노 86
 
10.6%
장 86
 
10.6%
연 84
 
10.3%
습 84
 
10.3%
스 18
 
2.2%
이 14
 
1.7%
전 11
 
1.4%
리 11
 
1.4%
산 11
 
1.4%
Other values (171) 321
39.5%
Latin
ValueCountFrequency (%)
C 31
22.5%
P 26
18.8%
O 15
10.9%
S 5
 
3.6%
R 5
 
3.6%
E 5
 
3.6%
K 5
 
3.6%
o 3
 
2.2%
T 3
 
2.2%
A 3
 
2.2%
Other values (25) 37
26.8%
Common
ValueCountFrequency (%)
32
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 813
82.7%
ASCII 170
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 87
 
10.7%
노 86
 
10.6%
장 86
 
10.6%
연 84
 
10.3%
습 84
 
10.3%
스 18
 
2.2%
이 14
 
1.7%
전 11
 
1.4%
리 11
 
1.4%
산 11
 
1.4%
Other values (171) 321
39.5%
ASCII
ValueCountFrequency (%)
32
18.8%
C 31
18.2%
P 26
15.3%
O 15
 
8.8%
S 5
 
2.9%
R 5
 
2.9%
E 5
 
2.9%
K 5
 
2.9%
o 3
 
1.8%
T 3
 
1.8%
Other values (26) 40
23.5%

도로명주소
Text

Distinct126
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:29:15.809037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length21.875969
Min length15

Characters and Unicode

Total characters2822
Distinct characters151
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

Unique123 ?
Unique (%)95.3%

Sample

1st row경상남도 양산시 고향의봄9길 29
2nd row경상남도 양산시 동면 금오10길 17
3rd row경상남도 양산시 동면 금오14길 15-19
4th row경상남도 양산시 동면 금오14길 9-24, 2층 201호
5th row경상남도 양산시 동면 호포로 52
ValueCountFrequency (%)
경상남도 129
19.8%
양산시 129
19.8%
물금읍 42
 
6.5%
동면 9
 
1.4%
상북면 8
 
1.2%
하북면 7
 
1.1%
목화로 6
 
0.9%
4 6
 
0.9%
야리로 6
 
0.9%
양산역6길 5
 
0.8%
Other values (200) 304
46.7%
2023-12-11T08:29:16.147550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
19.7%
양 156
 
5.5%
산 156
 
5.5%
상 140
 
5.0%
도 136
 
4.8%
남 132
 
4.7%
시 132
 
4.7%
경 129
 
4.6%
1 103
 
3.6%
로 65
 
2.3%
Other values (141) 1118
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1718
60.9%
Space Separator 555
 
19.7%
Decimal Number 449
 
15.9%
Other Punctuation 48
 
1.7%
Dash Punctuation 28
 
1.0%
Uppercase Letter 12
 
0.4%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 156
 
9.1%
산 156
 
9.1%
상 140
 
8.1%
도 136
 
7.9%
남 132
 
7.7%
시 132
 
7.7%
경 129
 
7.5%
로 65
 
3.8%
길 64
 
3.7%
금 51
 
3.0%
Other values (117) 557
32.4%
Decimal Number
ValueCountFrequency (%)
1 103
22.9%
2 64
14.3%
3 59
13.1%
4 52
11.6%
0 37
 
8.2%
6 36
 
8.0%
7 30
 
6.7%
5 29
 
6.5%
9 23
 
5.1%
8 16
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
16.7%
O 2
16.7%
N 2
16.7%
G 1
8.3%
E 1
8.3%
D 1
8.3%
B 1
8.3%
P 1
8.3%
C 1
8.3%
Space Separator
ValueCountFrequency (%)
555
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1718
60.9%
Common 1092
38.7%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 156
 
9.1%
산 156
 
9.1%
상 140
 
8.1%
도 136
 
7.9%
남 132
 
7.7%
시 132
 
7.7%
경 129
 
7.5%
로 65
 
3.8%
길 64
 
3.7%
금 51
 
3.0%
Other values (117) 557
32.4%
Common
ValueCountFrequency (%)
555
50.8%
1 103
 
9.4%
2 64
 
5.9%
3 59
 
5.4%
4 52
 
4.8%
, 48
 
4.4%
0 37
 
3.4%
6 36
 
3.3%
7 30
 
2.7%
5 29
 
2.7%
Other values (5) 79
 
7.2%
Latin
ValueCountFrequency (%)
I 2
16.7%
O 2
16.7%
N 2
16.7%
G 1
8.3%
E 1
8.3%
D 1
8.3%
B 1
8.3%
P 1
8.3%
C 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1718
60.9%
ASCII 1104
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
50.3%
1 103
 
9.3%
2 64
 
5.8%
3 59
 
5.3%
4 52
 
4.7%
, 48
 
4.3%
0 37
 
3.4%
6 36
 
3.3%
7 30
 
2.7%
5 29
 
2.6%
Other values (14) 91
 
8.2%
Hangul
ValueCountFrequency (%)
양 156
 
9.1%
산 156
 
9.1%
상 140
 
8.1%
도 136
 
7.9%
남 132
 
7.7%
시 132
 
7.7%
경 129
 
7.5%
로 65
 
3.8%
길 64
 
3.7%
금 51
 
3.0%
Other values (117) 557
32.4%

전화번호
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing66
Missing (%)51.2%
Memory size1.1 KiB
2023-12-11T08:29:16.349205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.412698
Min length12

Characters and Unicode

Total characters782
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

Unique61 ?
Unique (%)96.8%

Sample

1st row055-365-0165
2nd row0507-1307-2506
3rd row055-384-7719
4th row055-382-0400
5th row055-382-0466
ValueCountFrequency (%)
070-8887-7360 2
 
3.2%
055-388-0989 1
 
1.6%
055-388-9995 1
 
1.6%
055-387-9600 1
 
1.6%
055-387-1487 1
 
1.6%
0507-1411-8253 1
 
1.6%
055-367-1717 1
 
1.6%
055-365-5234 1
 
1.6%
055-362-0079 1
 
1.6%
055-364-7022 1
 
1.6%
Other values (52) 52
82.5%
2023-12-11T08:29:16.654949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 141
18.0%
- 126
16.1%
0 112
14.3%
3 86
11.0%
8 68
8.7%
7 66
8.4%
1 44
 
5.6%
2 40
 
5.1%
4 40
 
5.1%
6 36
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 656
83.9%
Dash Punctuation 126
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 141
21.5%
0 112
17.1%
3 86
13.1%
8 68
10.4%
7 66
10.1%
1 44
 
6.7%
2 40
 
6.1%
4 40
 
6.1%
6 36
 
5.5%
9 23
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 782
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 141
18.0%
- 126
16.1%
0 112
14.3%
3 86
11.0%
8 68
8.7%
7 66
8.4%
1 44
 
5.6%
2 40
 
5.1%
4 40
 
5.1%
6 36
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 141
18.0%
- 126
16.1%
0 112
14.3%
3 86
11.0%
8 68
8.7%
7 66
8.4%
1 44
 
5.6%
2 40
 
5.1%
4 40
 
5.1%
6 36
 
4.6%

영업시간
Text

MISSING 

Distinct17
Distinct (%)56.7%
Missing99
Missing (%)76.7%
Memory size1.1 KiB
2023-12-11T08:29:16.806905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length11
Mean length15.7
Min length11

Characters and Unicode

Total characters471
Distinct characters26
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

Unique16 ?
Unique (%)53.3%

Sample

1st row18:00-02:00
2nd row13:00-04:00
3rd row13:00-01:00
4th row18:00-05:00
5th row평일(17:00-03:00),주말(13:00-03:00)
ValueCountFrequency (%)
00:00-24:00 14
38.9%
평일(14:00-21:00 1
 
2.8%
18:00-02:00 1
 
2.8%
14:00-21:00 1
 
2.8%
주말(10:00-21:00 1
 
2.8%
수,목,금(11:00-20:00 1
 
2.8%
09:00-24:00 1
 
2.8%
14:00-00:00 1
 
2.8%
주말(10:30-20:00 1
 
2.8%
평일(11:00-20:00 1
 
2.8%
Other values (13) 13
36.1%
2023-12-11T08:29:17.062382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 195
41.4%
: 73
 
15.5%
- 38
 
8.1%
1 33
 
7.0%
2 29
 
6.2%
4 24
 
5.1%
( 12
 
2.5%
) 12
 
2.5%
, 9
 
1.9%
3 8
 
1.7%
Other values (16) 38
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
62.8%
Other Punctuation 83
 
17.6%
Dash Punctuation 38
 
8.1%
Other Letter 24
 
5.1%
Open Punctuation 12
 
2.5%
Close Punctuation 12
 
2.5%
Space Separator 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 4
16.7%
주 4
16.7%
말 4
16.7%
평 3
12.5%
시 2
8.3%
목 2
8.3%
금 2
8.3%
월 1
 
4.2%
토 1
 
4.2%
수 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 195
65.9%
1 33
 
11.1%
2 29
 
9.8%
4 24
 
8.1%
3 8
 
2.7%
8 3
 
1.0%
7 2
 
0.7%
5 1
 
0.3%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 73
88.0%
, 9
 
10.8%
; 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 447
94.9%
Hangul 24
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 195
43.6%
: 73
 
16.3%
- 38
 
8.5%
1 33
 
7.4%
2 29
 
6.5%
4 24
 
5.4%
( 12
 
2.7%
) 12
 
2.7%
, 9
 
2.0%
3 8
 
1.8%
Other values (6) 14
 
3.1%
Hangul
ValueCountFrequency (%)
일 4
16.7%
주 4
16.7%
말 4
16.7%
평 3
12.5%
시 2
8.3%
목 2
8.3%
금 2
8.3%
월 1
 
4.2%
토 1
 
4.2%
수 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 447
94.9%
Hangul 24
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 195
43.6%
: 73
 
16.3%
- 38
 
8.5%
1 33
 
7.4%
2 29
 
6.5%
4 24
 
5.4%
( 12
 
2.7%
) 12
 
2.7%
, 9
 
2.0%
3 8
 
1.8%
Other values (6) 14
 
3.1%
Hangul
ValueCountFrequency (%)
일 4
16.7%
주 4
16.7%
말 4
16.7%
평 3
12.5%
시 2
8.3%
목 2
8.3%
금 2
8.3%
월 1
 
4.2%
토 1
 
4.2%
수 1
 
4.2%

Interactions

2023-12-11T08:29:14.156627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:29:17.136728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명전화번호영업시간
연번1.0000.9440.6180.846
업종명0.9441.0000.0000.840
전화번호0.6180.0001.0000.908
영업시간0.8460.8400.9081.000
2023-12-11T08:29:17.207834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.665
업종명0.6651.000

Missing values

2023-12-11T08:29:14.480960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:29:14.563118image/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.
2023-12-11T08:29:14.631444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업종명상호도로명주소전화번호영업시간
01노래연습장업새소리노래연습장경상남도 양산시 고향의봄9길 29<NA><NA>
12노래연습장업설탕노래연습장경상남도 양산시 동면 금오10길 17<NA><NA>
23노래연습장업전국노래자랑노래연습장경상남도 양산시 동면 금오14길 15-19055-365-0165<NA>
34노래연습장업큐브 동전노래연습장경상남도 양산시 동면 금오14길 9-24, 2층 201호0507-1307-2506<NA>
45노래연습장업고래고래노래연습장경상남도 양산시 동면 호포로 52055-384-7719<NA>
56노래연습장업궁전노래연습장경상남도 양산시 명곡로 40<NA><NA>
67노래연습장업퀸노래연습장경상남도 양산시 물금읍 가촌로 109055-382-0400<NA>
78노래연습장업궁전노래연습장경상남도 양산시 물금읍 목화4길 4<NA><NA>
89노래연습장업AM노래연습장경상남도 양산시 물금읍 목화로 45<NA><NA>
910노래연습장업열창노래연습장경상남도 양산시 물금읍 목화로 46055-382-0466<NA>
연번업종명상호도로명주소전화번호영업시간
119120청소년게임제공업플레이스토어경상남도 양산시 물금읍 야리2길 9<NA><NA>
120121청소년게임제공업잭슨나인스경상남도 양산시 물금읍 증산역로 177, 라피에스타055-388-9995수,목,금(11:00-20:00), 주말(10:00-21:00)
121122청소년게임제공업양산갈고리경상남도 양산시 물금읍 화합4길 12<NA><NA>
122123청소년게임제공업타자고경상남도 양산시 삼성5길 21-6070-8887-736014:00-21:00
123124청소년게임제공업챔프게임랜드경상남도 양산시 삼성6길 7<NA><NA>
124125청소년게임제공업장난감이야기경상남도 양산시 삽량로 201<NA><NA>
125126청소년게임제공업이케부쿠로경상남도 양산시 양산역1길 18, 나래프라자 107호<NA><NA>
126127청소년게임제공업뽀바뽀바경상남도 양산시 양산역6길 3, 센트럴스위트<NA><NA>
127128청소년게임제공업뽑기치트경상남도 양산시 양주4길 15-1, 1층0507-1342-802108:00-24:00
128129청소년게임제공업챔프오락실경상남도 양산시 어실로 222, 야호스키<NA><NA>