Overview

Dataset statistics

Number of variables7
Number of observations52
Missing cells3
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory62.5 B

Variable types

Numeric4
Text2
Categorical1

Dataset

Description부산광역시 수영구 게임제공업현황 데이터로 상호명, 우편번호, 영업소소재지 주소, 시설면적, 업종명, 게임기수 정보를 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15005410/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
시설면적 is highly overall correlated with 게임기수High correlation
게임기수 is highly overall correlated with 시설면적 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
게임기수 has 3 (5.8%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:07:25.370689
Analysis finished2023-12-12 15:07:26.943242
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T00:07:27.005696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-13T00:07:27.165199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

상호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T00:07:27.409232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length7.4807692
Min length3

Characters and Unicode

Total characters389
Distinct characters138
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

Unique52 ?
Unique (%)100.0%

Sample

1st row테마파크
2nd row즐겨찾기PC방
3rd row노리박스 PC방
4th row뉴스피드넷PC스테이션
5th rowSTYLE PC방
ValueCountFrequency (%)
pc 7
 
8.3%
pc방 5
 
6.0%
ox 3
 
3.6%
핑키펑키 2
 
2.4%
더블클릭pc방 1
 
1.2%
철구pc방 1
 
1.2%
수영역점 1
 
1.2%
아이센스리그pc방 1
 
1.2%
카페 1
 
1.2%
투썸pc 1
 
1.2%
Other values (61) 61
72.6%
2023-12-13T00:07:27.813077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 32
 
8.2%
32
 
8.2%
P 32
 
8.2%
방 17
 
4.4%
점 16
 
4.1%
이 9
 
2.3%
스 9
 
2.3%
리 8
 
2.1%
안 7
 
1.8%
광 7
 
1.8%
Other values (128) 220
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
67.6%
Uppercase Letter 87
 
22.4%
Space Separator 32
 
8.2%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Lowercase Letter 2
 
0.5%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 17
 
6.5%
점 16
 
6.1%
이 9
 
3.4%
스 9
 
3.4%
리 8
 
3.0%
안 7
 
2.7%
광 7
 
2.7%
피 6
 
2.3%
아 5
 
1.9%
기 5
 
1.9%
Other values (108) 174
66.2%
Uppercase Letter
ValueCountFrequency (%)
C 32
36.8%
P 32
36.8%
E 5
 
5.7%
O 4
 
4.6%
X 3
 
3.4%
W 2
 
2.3%
L 2
 
2.3%
V 1
 
1.1%
R 1
 
1.1%
Y 1
 
1.1%
Other values (4) 4
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
67.6%
Latin 89
 
22.9%
Common 37
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 17
 
6.5%
점 16
 
6.1%
이 9
 
3.4%
스 9
 
3.4%
리 8
 
3.0%
안 7
 
2.7%
광 7
 
2.7%
피 6
 
2.3%
아 5
 
1.9%
기 5
 
1.9%
Other values (108) 174
66.2%
Latin
ValueCountFrequency (%)
C 32
36.0%
P 32
36.0%
E 5
 
5.6%
O 4
 
4.5%
X 3
 
3.4%
W 2
 
2.2%
L 2
 
2.2%
c 1
 
1.1%
V 1
 
1.1%
R 1
 
1.1%
Other values (6) 6
 
6.7%
Common
ValueCountFrequency (%)
32
86.5%
) 2
 
5.4%
( 2
 
5.4%
1 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
67.6%
ASCII 126
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 32
25.4%
32
25.4%
P 32
25.4%
E 5
 
4.0%
O 4
 
3.2%
X 3
 
2.4%
) 2
 
1.6%
( 2
 
1.6%
W 2
 
1.6%
L 2
 
1.6%
Other values (10) 10
 
7.9%
Hangul
ValueCountFrequency (%)
방 17
 
6.5%
점 16
 
6.1%
이 9
 
3.4%
스 9
 
3.4%
리 8
 
3.0%
안 7
 
2.7%
광 7
 
2.7%
피 6
 
2.3%
아 5
 
1.9%
기 5
 
1.9%
Other values (108) 174
66.2%

우편번호
Real number (ℝ)

Distinct34
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48266.769
Minimum48204
Maximum48314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T00:07:27.985131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48204
5-th percentile48216.6
Q148234
median48269
Q348293.25
95-th percentile48314
Maximum48314
Range110
Interquartile range (IQR)59.25

Descriptive statistics

Standard deviation32.509797
Coefficient of variation (CV)0.00067354408
Kurtosis-1.1513218
Mean48266.769
Median Absolute Deviation (MAD)26.5
Skewness-0.14084642
Sum2509872
Variance1056.8869
MonotonicityNot monotonic
2023-12-13T00:07:28.107741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
48234 4
 
7.7%
48314 4
 
7.7%
48228 4
 
7.7%
48284 3
 
5.8%
48294 2
 
3.8%
48283 2
 
3.8%
48269 2
 
3.8%
48242 2
 
3.8%
48266 2
 
3.8%
48313 2
 
3.8%
Other values (24) 25
48.1%
ValueCountFrequency (%)
48204 1
 
1.9%
48209 1
 
1.9%
48210 1
 
1.9%
48222 1
 
1.9%
48227 1
 
1.9%
48228 4
7.7%
48232 1
 
1.9%
48234 4
7.7%
48242 2
3.8%
48243 1
 
1.9%
ValueCountFrequency (%)
48314 4
7.7%
48313 2
3.8%
48312 1
 
1.9%
48308 1
 
1.9%
48304 1
 
1.9%
48303 1
 
1.9%
48295 1
 
1.9%
48294 2
3.8%
48293 1
 
1.9%
48292 1
 
1.9%

영업소소재지(도로명)
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T00:07:28.373713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37.5
Mean length30.365385
Min length22

Characters and Unicode

Total characters1579
Distinct characters98
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row부산광역시 수영구 수영로 608, 부일빌딩 (광안동)
2nd row부산광역시 수영구 남천바다로 8, 2층 (남천동)
3rd row부산광역시 수영구 과정로 45 (망미동)
4th row부산광역시 수영구 연수로282번길 38 (망미동)
5th row부산광역시 수영구 수영로 519 (광안동)
ValueCountFrequency (%)
부산광역시 52
 
16.5%
수영구 52
 
16.5%
광안동 19
 
6.0%
2층 14
 
4.4%
수영로 10
 
3.2%
남천동 10
 
3.2%
민락동 9
 
2.9%
수영동 7
 
2.2%
망미동 7
 
2.2%
1층 5
 
1.6%
Other values (95) 130
41.3%
2023-12-13T00:07:28.782729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
 
16.7%
수 89
 
5.6%
영 85
 
5.4%
광 83
 
5.3%
동 54
 
3.4%
부 53
 
3.4%
) 52
 
3.3%
산 52
 
3.3%
로 52
 
3.3%
구 52
 
3.3%
Other values (88) 744
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 929
58.8%
Space Separator 263
 
16.7%
Decimal Number 234
 
14.8%
Close Punctuation 52
 
3.3%
Open Punctuation 52
 
3.3%
Other Punctuation 42
 
2.7%
Dash Punctuation 4
 
0.3%
Letter Number 1
 
0.1%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 89
 
9.6%
영 85
 
9.1%
광 83
 
8.9%
동 54
 
5.8%
부 53
 
5.7%
산 52
 
5.6%
로 52
 
5.6%
구 52
 
5.6%
시 52
 
5.6%
역 52
 
5.6%
Other values (70) 305
32.8%
Decimal Number
ValueCountFrequency (%)
1 41
17.5%
2 39
16.7%
6 34
14.5%
5 21
9.0%
4 21
9.0%
8 19
8.1%
3 19
8.1%
0 17
7.3%
7 14
 
6.0%
9 9
 
3.8%
Space Separator
ValueCountFrequency (%)
263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 929
58.8%
Common 648
41.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 89
 
9.6%
영 85
 
9.1%
광 83
 
8.9%
동 54
 
5.8%
부 53
 
5.7%
산 52
 
5.6%
로 52
 
5.6%
구 52
 
5.6%
시 52
 
5.6%
역 52
 
5.6%
Other values (70) 305
32.8%
Common
ValueCountFrequency (%)
263
40.6%
) 52
 
8.0%
( 52
 
8.0%
, 42
 
6.5%
1 41
 
6.3%
2 39
 
6.0%
6 34
 
5.2%
5 21
 
3.2%
4 21
 
3.2%
8 19
 
2.9%
Other values (6) 64
 
9.9%
Latin
ValueCountFrequency (%)
Ⅱ 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 929
58.8%
ASCII 649
41.1%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
40.5%
) 52
 
8.0%
( 52
 
8.0%
, 42
 
6.5%
1 41
 
6.3%
2 39
 
6.0%
6 34
 
5.2%
5 21
 
3.2%
4 21
 
3.2%
8 19
 
2.9%
Other values (7) 65
 
10.0%
Hangul
ValueCountFrequency (%)
수 89
 
9.6%
영 85
 
9.1%
광 83
 
8.9%
동 54
 
5.8%
부 53
 
5.7%
산 52
 
5.6%
로 52
 
5.6%
구 52
 
5.6%
시 52
 
5.6%
역 52
 
5.6%
Other values (70) 305
32.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.63827
Minimum6.6
Maximum536.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T00:07:28.913345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile38.057
Q1110.695
median196.855
Q3288.9825
95-th percentile417.899
Maximum536.16
Range529.56
Interquartile range (IQR)178.2875

Descriptive statistics

Standard deviation119.59539
Coefficient of variation (CV)0.59019154
Kurtosis0.35938706
Mean202.63827
Median Absolute Deviation (MAD)86.68
Skewness0.72089458
Sum10537.19
Variance14303.058
MonotonicityNot monotonic
2023-12-13T00:07:29.042521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.46 2
 
3.8%
235.0 1
 
1.9%
90.75 1
 
1.9%
190.35 1
 
1.9%
242.0 1
 
1.9%
141.66 1
 
1.9%
199.4 1
 
1.9%
411.05 1
 
1.9%
214.24 1
 
1.9%
300.25 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
6.6 1
1.9%
23.1 1
1.9%
27.2 1
1.9%
46.94 1
1.9%
48.44 1
1.9%
49.52 1
1.9%
84.63 1
1.9%
90.75 1
1.9%
95.19 1
1.9%
97.79 1
1.9%
ValueCountFrequency (%)
536.16 1
1.9%
493.59 1
1.9%
426.27 1
1.9%
411.05 1
1.9%
384.73 1
1.9%
366.88 1
1.9%
320.19 1
1.9%
317.89 1
1.9%
310.38 1
1.9%
300.25 1
1.9%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
인터넷컴퓨터게임시설제공업
33 
청소년게임제공업
12 
복합유통게임제공업
4 
일반게임제공업
 
3

Length

Max length13
Median length13
Mean length11.192308
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 33
63.5%
청소년게임제공업 12
 
23.1%
복합유통게임제공업 4
 
7.7%
일반게임제공업 3
 
5.8%

Length

2023-12-13T00:07:29.200513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:07:29.301959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 33
63.5%
청소년게임제공업 12
 
23.1%
복합유통게임제공업 4
 
7.7%
일반게임제공업 3
 
5.8%

게임기수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct42
Distinct (%)85.7%
Missing3
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean66.081633
Minimum4
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T00:07:29.412318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.8
Q146
median68
Q388
95-th percentile127.2
Maximum156
Range152
Interquartile range (IQR)42

Descriptive statistics

Standard deviation38.430585
Coefficient of variation (CV)0.58156228
Kurtosis-0.48469801
Mean66.081633
Median Absolute Deviation (MAD)21
Skewness0.14743516
Sum3238
Variance1476.9099
MonotonicityNot monotonic
2023-12-13T00:07:29.549351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
110 3
 
5.8%
82 3
 
5.8%
50 3
 
5.8%
4 2
 
3.8%
67 1
 
1.9%
70 1
 
1.9%
120 1
 
1.9%
73 1
 
1.9%
75 1
 
1.9%
130 1
 
1.9%
Other values (32) 32
61.5%
(Missing) 3
 
5.8%
ValueCountFrequency (%)
4 2
3.8%
6 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
13 1
1.9%
17 1
1.9%
21 1
1.9%
22 1
1.9%
27 1
1.9%
ValueCountFrequency (%)
156 1
 
1.9%
142 1
 
1.9%
130 1
 
1.9%
123 1
 
1.9%
120 1
 
1.9%
110 3
5.8%
105 1
 
1.9%
103 1
 
1.9%
92 1
 
1.9%
89 1
 
1.9%

Interactions

2023-12-13T00:07:26.513560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:25.685735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:25.982988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.253423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.579035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:25.761169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.047096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.318368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.647299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:25.844212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.111160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.381162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.715315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:25.907962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.174438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:07:26.444633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:07:29.926093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호우편번호영업소소재지(도로명)시설면적업종명게임기수
연번1.0001.0000.5291.0000.5240.8950.591
상호1.0001.0001.0001.0001.0001.0001.000
우편번호0.5291.0001.0001.0000.0000.3760.000
영업소소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
시설면적0.5241.0000.0001.0001.0000.6090.885
업종명0.8951.0000.3761.0000.6091.0000.749
게임기수0.5911.0000.0001.0000.8850.7491.000
2023-12-13T00:07:30.016150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호시설면적게임기수업종명
연번1.0000.149-0.358-0.3550.721
우편번호0.1491.000-0.129-0.1620.235
시설면적-0.358-0.1291.0000.9180.413
게임기수-0.355-0.1620.9181.0000.517
업종명0.7210.2350.4130.5171.000

Missing values

2023-12-13T00:07:26.811094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:07:26.907417image/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

연번상호우편번호영업소소재지(도로명)시설면적업종명게임기수
01테마파크48293부산광역시 수영구 수영로 608, 부일빌딩 (광안동)235.0인터넷컴퓨터게임시설제공업79
12즐겨찾기PC방48314부산광역시 수영구 남천바다로 8, 2층 (남천동)141.21인터넷컴퓨터게임시설제공업46
23노리박스 PC방48210부산광역시 수영구 과정로 45 (망미동)110.79인터넷컴퓨터게임시설제공업<NA>
34뉴스피드넷PC스테이션48234부산광역시 수영구 연수로282번길 38 (망미동)124.08인터넷컴퓨터게임시설제공업<NA>
45STYLE PC방48264부산광역시 수영구 수영로 519 (광안동)165.29인터넷컴퓨터게임시설제공업48
56혼밥도리 본점48252부산광역시 수영구 광일로29번가길 25, 금정빌딩 2층 (광안동)214.96인터넷컴퓨터게임시설제공업68
67REVEL PC방48227부산광역시 수영구 수영로705번길 14, 2층 (수영동)536.16인터넷컴퓨터게임시설제공업142
78그린비PC방48295부산광역시 수영구 수영로606번길 132 (광안동)110.41인터넷컴퓨터게임시설제공업49
89초코렛PC방48234부산광역시 수영구 연수로 266, 기업은행망미지점 (망미동)207.46인터넷컴퓨터게임시설제공업82
910에이스 PC방48232부산광역시 수영구 망미번영로52번길 101, 2층 (수영동)97.79인터넷컴퓨터게임시설제공업8
연번상호우편번호영업소소재지(도로명)시설면적업종명게임기수
4243시티헌터48314부산광역시 수영구 수영로464번길 12, 1층 (남천동)95.19청소년게임제공업10
4344짱인형뽑기방48280부산광역시 수영구 광안해변로344번길 9-3, 세진빌딩 (민락동)6.6청소년게임제공업4
4445인형뽑기48312부산광역시 수영구 황령대로481번길 12 (남천동)23.1청소년게임제공업9
4546뽑기나라48209부산광역시 수영구 과정로41번길 37, 101호 (망미동)84.63청소년게임제공업17
4647뽑기노리48292부산광역시 수영구 감포로 17 (광안동)46.94청소년게임제공업4
4748사격팡인생네컷48304부산광역시 수영구 남천바다로 38-1, 1층 (남천동)148.13청소년게임제공업13
4849짱오락실 부산광안리점48283부산광역시 수영구 광안해변로278번길 42, 오션브릿지 101호 (민락동)155.55청소년게임제공업59
4950왕미미 오락실48281부산광역시 수영구 민락수변로17번길 56 (민락동)48.44청소년게임제공업22
5051핑키펑키 광안점48303부산광역시 수영구 광안해변로 165, 광안지웰 에스테이트 203호 (광안동)118.8청소년게임제공업<NA>
5152핑키펑키 민락점48285부산광역시 수영구 광안로61번길 60, 206~208호 (민락동)109.94청소년게임제공업40