Overview

Dataset statistics

Number of variables7
Number of observations49
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory62.7 B

Variable types

Numeric4
Text2
Categorical1

Dataset

Description부산광역시_수영구_게임제공업현황_20230407
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15005410

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 2 (4.1%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:22:28.483146
Analysis finished2023-12-10 16:22:30.870052
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T01:22:30.940599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-11T01:22:31.080332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

상호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:22:31.330112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.2857143
Min length3

Characters and Unicode

Total characters357
Distinct characters136
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

Unique49 ?
Unique (%)100.0%

Sample

1st row테마파크
2nd row즐겨찾기PC방
3rd row노리박스 PC방
4th row뉴스피드넷PC스테이션
5th rowSTYLE PC방
ValueCountFrequency (%)
pc 6
 
7.9%
pc방 5
 
6.6%
ox 3
 
3.9%
테마파크 1
 
1.3%
스컬스피시 1
 
1.3%
아이센스리그pc방 1
 
1.3%
카페 1
 
1.3%
투썸pc 1
 
1.3%
더블클릭pc방 1
 
1.3%
프렌즈pc 1
 
1.3%
Other values (55) 55
72.4%
2023-12-11T01:22:31.723618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 31
 
8.7%
C 31
 
8.7%
27
 
7.6%
방 17
 
4.8%
점 13
 
3.6%
이 10
 
2.8%
스 9
 
2.5%
리 7
 
2.0%
피 6
 
1.7%
광 5
 
1.4%
Other values (126) 201
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
66.7%
Uppercase Letter 85
 
23.8%
Space Separator 27
 
7.6%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Lowercase Letter 2
 
0.6%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 17
 
7.1%
점 13
 
5.5%
이 10
 
4.2%
스 9
 
3.8%
리 7
 
2.9%
피 6
 
2.5%
광 5
 
2.1%
안 5
 
2.1%
드 5
 
2.1%
기 5
 
2.1%
Other values (106) 156
65.5%
Uppercase Letter
ValueCountFrequency (%)
P 31
36.5%
C 31
36.5%
E 5
 
5.9%
O 4
 
4.7%
X 3
 
3.5%
W 2
 
2.4%
L 2
 
2.4%
Z 1
 
1.2%
V 1
 
1.2%
R 1
 
1.2%
Other values (4) 4
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
66.7%
Latin 87
 
24.4%
Common 32
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 17
 
7.1%
점 13
 
5.5%
이 10
 
4.2%
스 9
 
3.8%
리 7
 
2.9%
피 6
 
2.5%
광 5
 
2.1%
안 5
 
2.1%
드 5
 
2.1%
기 5
 
2.1%
Other values (106) 156
65.5%
Latin
ValueCountFrequency (%)
P 31
35.6%
C 31
35.6%
E 5
 
5.7%
O 4
 
4.6%
X 3
 
3.4%
W 2
 
2.3%
L 2
 
2.3%
Z 1
 
1.1%
p 1
 
1.1%
V 1
 
1.1%
Other values (6) 6
 
6.9%
Common
ValueCountFrequency (%)
27
84.4%
( 2
 
6.2%
) 2
 
6.2%
1 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
66.7%
ASCII 119
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 31
26.1%
C 31
26.1%
27
22.7%
E 5
 
4.2%
O 4
 
3.4%
X 3
 
2.5%
W 2
 
1.7%
( 2
 
1.7%
) 2
 
1.7%
L 2
 
1.7%
Other values (10) 10
 
8.4%
Hangul
ValueCountFrequency (%)
방 17
 
7.1%
점 13
 
5.5%
이 10
 
4.2%
스 9
 
3.8%
리 7
 
2.9%
피 6
 
2.5%
광 5
 
2.1%
안 5
 
2.1%
드 5
 
2.1%
기 5
 
2.1%
Other values (106) 156
65.5%

우편번호
Real number (ℝ)

Distinct32
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48264.939
Minimum48204
Maximum48314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T01:22:31.866024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48204
5-th percentile48214.8
Q148234
median48266
Q348293
95-th percentile48314
Maximum48314
Range110
Interquartile range (IQR)59

Descriptive statistics

Standard deviation32.802698
Coefficient of variation (CV)0.00067963824
Kurtosis-1.16005
Mean48264.939
Median Absolute Deviation (MAD)28
Skewness-0.0087851496
Sum2364982
Variance1076.017
MonotonicityNot monotonic
2023-12-11T01:22:31.983193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
48234 4
 
8.2%
48314 4
 
8.2%
48228 4
 
8.2%
48284 3
 
6.1%
48294 2
 
4.1%
48242 2
 
4.1%
48269 2
 
4.1%
48313 2
 
4.1%
48266 2
 
4.1%
48249 2
 
4.1%
Other values (22) 22
44.9%
ValueCountFrequency (%)
48204 1
 
2.0%
48209 1
 
2.0%
48210 1
 
2.0%
48222 1
 
2.0%
48227 1
 
2.0%
48228 4
8.2%
48232 1
 
2.0%
48234 4
8.2%
48242 2
4.1%
48243 1
 
2.0%
ValueCountFrequency (%)
48314 4
8.2%
48313 2
4.1%
48312 1
 
2.0%
48308 1
 
2.0%
48304 1
 
2.0%
48295 1
 
2.0%
48294 2
4.1%
48293 1
 
2.0%
48292 1
 
2.0%
48284 3
6.1%

영업소소재지(도로명)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:22:32.278336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length29.632653
Min length22

Characters and Unicode

Total characters1452
Distinct characters81
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
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 49
16.7%
수영구 49
16.7%
광안동 19
 
6.5%
2층 15
 
5.1%
수영로 11
 
3.7%
남천동 10
 
3.4%
망미동 7
 
2.4%
수영동 7
 
2.4%
민락동 6
 
2.0%
1층 5
 
1.7%
Other values (84) 116
39.5%
2023-12-11T01:22:32.665492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
16.9%
수 86
 
5.9%
영 83
 
5.7%
광 75
 
5.2%
동 51
 
3.5%
부 50
 
3.4%
시 49
 
3.4%
( 49
 
3.4%
구 49
 
3.4%
로 49
 
3.4%
Other values (71) 666
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 851
58.6%
Space Separator 245
 
16.9%
Decimal Number 211
 
14.5%
Open Punctuation 49
 
3.4%
Close Punctuation 49
 
3.4%
Other Punctuation 40
 
2.8%
Dash Punctuation 5
 
0.3%
Letter Number 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 86
 
10.1%
영 83
 
9.8%
광 75
 
8.8%
동 51
 
6.0%
부 50
 
5.9%
시 49
 
5.8%
구 49
 
5.8%
로 49
 
5.8%
역 49
 
5.8%
산 49
 
5.8%
Other values (54) 261
30.7%
Decimal Number
ValueCountFrequency (%)
2 36
17.1%
1 35
16.6%
6 31
14.7%
5 21
10.0%
4 20
9.5%
8 17
8.1%
3 16
7.6%
7 13
 
6.2%
0 13
 
6.2%
9 9
 
4.3%
Space Separator
ValueCountFrequency (%)
245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 851
58.6%
Common 599
41.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 86
 
10.1%
영 83
 
9.8%
광 75
 
8.8%
동 51
 
6.0%
부 50
 
5.9%
시 49
 
5.8%
구 49
 
5.8%
로 49
 
5.8%
역 49
 
5.8%
산 49
 
5.8%
Other values (54) 261
30.7%
Common
ValueCountFrequency (%)
245
40.9%
( 49
 
8.2%
) 49
 
8.2%
, 40
 
6.7%
2 36
 
6.0%
1 35
 
5.8%
6 31
 
5.2%
5 21
 
3.5%
4 20
 
3.3%
8 17
 
2.8%
Other values (5) 56
 
9.3%
Latin
ValueCountFrequency (%)
Ⅱ 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 851
58.6%
ASCII 600
41.3%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
40.8%
( 49
 
8.2%
) 49
 
8.2%
, 40
 
6.7%
2 36
 
6.0%
1 35
 
5.8%
6 31
 
5.2%
5 21
 
3.5%
4 20
 
3.3%
8 17
 
2.8%
Other values (6) 57
 
9.5%
Hangul
ValueCountFrequency (%)
수 86
 
10.1%
영 83
 
9.8%
광 75
 
8.8%
동 51
 
6.0%
부 50
 
5.9%
시 49
 
5.8%
구 49
 
5.8%
로 49
 
5.8%
역 49
 
5.8%
산 49
 
5.8%
Other values (54) 261
30.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.38204
Minimum6.6
Maximum536.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T01:22:32.801706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile30.88
Q1110.79
median207.46
Q3294.54
95-th percentile420.182
Maximum536.16
Range529.56
Interquartile range (IQR)183.75

Descriptive statistics

Standard deviation121.86728
Coefficient of variation (CV)0.58203309
Kurtosis0.17216628
Mean209.38204
Median Absolute Deviation (MAD)90
Skewness0.56422812
Sum10259.72
Variance14851.633
MonotonicityNot monotonic
2023-12-11T01:22:33.000715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
207.46 2
 
4.1%
235.0 1
 
2.0%
186.7 1
 
2.0%
300.05 1
 
2.0%
310.38 1
 
2.0%
190.35 1
 
2.0%
242.0 1
 
2.0%
199.4 1
 
2.0%
411.05 1
 
2.0%
214.24 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
6.6 1
2.0%
23.1 1
2.0%
27.2 1
2.0%
36.4 1
2.0%
46.94 1
2.0%
49.52 1
2.0%
84.63 1
2.0%
90.75 1
2.0%
95.19 1
2.0%
97.79 1
2.0%
ValueCountFrequency (%)
536.16 1
2.0%
493.59 1
2.0%
426.27 1
2.0%
411.05 1
2.0%
384.73 1
2.0%
366.88 1
2.0%
320.19 1
2.0%
317.89 1
2.0%
310.38 1
2.0%
300.25 1
2.0%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
인터넷컴퓨터게임시설제공업
32 
청소년게임제공업
9 
복합유통게임제공업
5 
일반게임제공업
 
3

Length

Max length13
Median length13
Mean length11.306122
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 32
65.3%
청소년게임제공업 9
 
18.4%
복합유통게임제공업 5
 
10.2%
일반게임제공업 3
 
6.1%

Length

2023-12-11T01:22:33.173485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:22:33.287070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 32
65.3%
청소년게임제공업 9
 
18.4%
복합유통게임제공업 5
 
10.2%
일반게임제공업 3
 
6.1%

게임기수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct40
Distinct (%)85.1%
Missing2
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean67.361702
Minimum4
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T01:22:33.422594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.6
Q147
median71
Q390
95-th percentile127.9
Maximum156
Range152
Interquartile range (IQR)43

Descriptive statistics

Standard deviation39.52898
Coefficient of variation (CV)0.58681682
Kurtosis-0.59711427
Mean67.361702
Median Absolute Deviation (MAD)22
Skewness0.013457536
Sum3166
Variance1562.5402
MonotonicityNot monotonic
2023-12-11T01:22:33.578611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
110 3
 
6.1%
82 3
 
6.1%
4 2
 
4.1%
8 2
 
4.1%
50 2
 
4.1%
67 1
 
2.0%
70 1
 
2.0%
120 1
 
2.0%
73 1
 
2.0%
91 1
 
2.0%
Other values (30) 30
61.2%
(Missing) 2
 
4.1%
ValueCountFrequency (%)
4 2
4.1%
6 1
2.0%
8 2
4.1%
9 1
2.0%
10 1
2.0%
13 1
2.0%
17 1
2.0%
21 1
2.0%
27 1
2.0%
46 1
2.0%
ValueCountFrequency (%)
156 1
 
2.0%
142 1
 
2.0%
130 1
 
2.0%
123 1
 
2.0%
120 1
 
2.0%
110 3
6.1%
105 1
 
2.0%
103 1
 
2.0%
92 1
 
2.0%
91 1
 
2.0%

Interactions

2023-12-11T01:22:30.358966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:28.963593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.526766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.014120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.436929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.104104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.653380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.111694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.519309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.238579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.788812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.199422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.605275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.390628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:29.902162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:22:30.273783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:22:34.060648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호우편번호영업소소재지(도로명)시설면적업종명게임기수
연번1.0001.0000.0001.0000.4490.8470.715
상호1.0001.0001.0001.0001.0001.0001.000
우편번호0.0001.0001.0001.0000.0000.0000.000
영업소소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
시설면적0.4491.0000.0001.0001.0000.6180.881
업종명0.8471.0000.0001.0000.6181.0000.769
게임기수0.7151.0000.0001.0000.8810.7691.000
2023-12-11T01:22:34.200087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호시설면적게임기수업종명
연번1.0000.072-0.286-0.3010.643
우편번호0.0721.000-0.085-0.1180.000
시설면적-0.286-0.0851.0000.9150.419
게임기수-0.301-0.1180.9151.0000.538
업종명0.6430.0000.4190.5381.000

Missing values

2023-12-11T01:22:30.718042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:22:30.828676image/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
3940롯데게임랜드48266부산광역시 수영구 수영로 710-1, 프라임메디컬 빌딩 지하1층 (광안동)109.45일반게임제공업60
4041사격팡48284부산광역시 수영구 광안로 67 (민락동)90.75청소년게임제공업27
4142뽀끼타운48284부산광역시 수영구 광안로 65 (민락동)49.52청소년게임제공업21
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
4849성난파도샵48262부산광역시 수영구 호암로29번길 55, 1층 (광안동)36.4청소년게임제공업8