Overview

Dataset statistics

Number of variables8
Number of observations118
Missing cells6
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory68.1 B

Variable types

Text2
DateTime2
Categorical1
Numeric3

Dataset

Description제주특별자치도 서귀포시 관내의 게임업 현황에 관한 데이터로 상호, 소재지, 업종명, 위도, 경도 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056125/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
위도 has 3 (2.5%) missing valuesMissing
경도 has 3 (2.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:21:42.197087
Analysis finished2023-12-12 21:21:43.654483
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct116
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T06:21:43.909381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.5932203
Min length3

Characters and Unicode

Total characters778
Distinct characters216
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

Unique114 ?
Unique (%)96.6%

Sample

1st row오라이PC
2nd row마카오PC
3rd row유피씨
4th row드림PC
5th row공룡PC
ValueCountFrequency (%)
pc방 3
 
1.9%
동홍점 3
 
1.9%
제너스pc 2
 
1.3%
pc 2
 
1.3%
인형뽑기 2
 
1.3%
크라우드pc 2
 
1.3%
아이존팝 2
 
1.3%
게임존 2
 
1.3%
game 2
 
1.3%
더캠프pc 2
 
1.3%
Other values (131) 133
85.8%
2023-12-13T06:21:44.358979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 92
 
11.8%
P 89
 
11.4%
37
 
4.8%
방 28
 
3.6%
점 20
 
2.6%
이 15
 
1.9%
스 14
 
1.8%
드 13
 
1.7%
제 12
 
1.5%
주 11
 
1.4%
Other values (206) 447
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 508
65.3%
Uppercase Letter 221
28.4%
Space Separator 37
 
4.8%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Other Punctuation 3
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 28
 
5.5%
점 20
 
3.9%
이 15
 
3.0%
스 14
 
2.8%
드 13
 
2.6%
제 12
 
2.4%
주 11
 
2.2%
임 11
 
2.2%
라 11
 
2.2%
서 10
 
2.0%
Other values (180) 363
71.5%
Uppercase Letter
ValueCountFrequency (%)
C 92
41.6%
P 89
40.3%
E 7
 
3.2%
N 4
 
1.8%
A 4
 
1.8%
M 4
 
1.8%
R 3
 
1.4%
O 2
 
0.9%
T 2
 
0.9%
U 2
 
0.9%
Other values (10) 12
 
5.4%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 508
65.3%
Latin 221
28.4%
Common 49
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 28
 
5.5%
점 20
 
3.9%
이 15
 
3.0%
스 14
 
2.8%
드 13
 
2.6%
제 12
 
2.4%
주 11
 
2.2%
임 11
 
2.2%
라 11
 
2.2%
서 10
 
2.0%
Other values (180) 363
71.5%
Latin
ValueCountFrequency (%)
C 92
41.6%
P 89
40.3%
E 7
 
3.2%
N 4
 
1.8%
A 4
 
1.8%
M 4
 
1.8%
R 3
 
1.4%
O 2
 
0.9%
T 2
 
0.9%
U 2
 
0.9%
Other values (10) 12
 
5.4%
Common
ValueCountFrequency (%)
37
75.5%
) 4
 
8.2%
( 4
 
8.2%
& 2
 
4.1%
? 1
 
2.0%
7 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 508
65.3%
ASCII 270
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 92
34.1%
P 89
33.0%
37
13.7%
E 7
 
2.6%
N 4
 
1.5%
A 4
 
1.5%
) 4
 
1.5%
M 4
 
1.5%
( 4
 
1.5%
R 3
 
1.1%
Other values (16) 22
 
8.1%
Hangul
ValueCountFrequency (%)
방 28
 
5.5%
점 20
 
3.9%
이 15
 
3.0%
스 14
 
2.8%
드 13
 
2.6%
제 12
 
2.4%
주 11
 
2.2%
임 11
 
2.2%
라 11
 
2.2%
서 10
 
2.0%
Other values (180) 363
71.5%

소재지
Text

Distinct116
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T06:21:44.774250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length30.983051
Min length23

Characters and Unicode

Total characters3656
Distinct characters178
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)96.6%

Sample

1st row제주특별자치도 서귀포시 안덕면 서광동로47번길 4 산남건설기계
2nd row제주특별자치도 서귀포시 중앙로59번길 14 엘리트 1층 (서귀동)
3rd row제주특별자치도 서귀포시 서호중앙로 55 제주유포리아지식산업센터 E zone b3동 지하3층 108호 (서호동)
4th row제주특별자치도 서귀포시 동홍로 42 C동 101호 (동홍동)
5th row제주특별자치도 서귀포시 성산읍 일주동로 4227-1
ValueCountFrequency (%)
제주특별자치도 118
 
16.5%
서귀포시 118
 
16.5%
서귀동 37
 
5.2%
1층 25
 
3.5%
표선면 19
 
2.7%
2층 18
 
2.5%
대정읍 12
 
1.7%
3층 11
 
1.5%
동홍동 11
 
1.5%
중앙로 9
 
1.3%
Other values (232) 336
47.1%
2023-12-13T06:21:45.343864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
596
 
16.3%
서 174
 
4.8%
귀 158
 
4.3%
주 128
 
3.5%
제 125
 
3.4%
포 121
 
3.3%
시 121
 
3.3%
치 120
 
3.3%
도 119
 
3.3%
자 118
 
3.2%
Other values (168) 1876
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2413
66.0%
Space Separator 596
 
16.3%
Decimal Number 454
 
12.4%
Close Punctuation 74
 
2.0%
Open Punctuation 74
 
2.0%
Dash Punctuation 19
 
0.5%
Other Punctuation 16
 
0.4%
Lowercase Letter 5
 
0.1%
Uppercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 174
 
7.2%
귀 158
 
6.5%
주 128
 
5.3%
제 125
 
5.2%
포 121
 
5.0%
시 121
 
5.0%
치 120
 
5.0%
도 119
 
4.9%
자 118
 
4.9%
별 118
 
4.9%
Other values (143) 1111
46.0%
Decimal Number
ValueCountFrequency (%)
1 113
24.9%
2 78
17.2%
3 53
11.7%
0 41
 
9.0%
4 35
 
7.7%
5 33
 
7.3%
9 28
 
6.2%
7 27
 
5.9%
6 27
 
5.9%
8 19
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
z 1
20.0%
o 1
20.0%
n 1
20.0%
b 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
F 1
25.0%
E 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
* 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2413
66.0%
Common 1234
33.8%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 174
 
7.2%
귀 158
 
6.5%
주 128
 
5.3%
제 125
 
5.2%
포 121
 
5.0%
시 121
 
5.0%
치 120
 
5.0%
도 119
 
4.9%
자 118
 
4.9%
별 118
 
4.9%
Other values (143) 1111
46.0%
Common
ValueCountFrequency (%)
596
48.3%
1 113
 
9.2%
2 78
 
6.3%
) 74
 
6.0%
( 74
 
6.0%
3 53
 
4.3%
0 41
 
3.3%
4 35
 
2.8%
5 33
 
2.7%
9 28
 
2.3%
Other values (6) 109
 
8.8%
Latin
ValueCountFrequency (%)
B 1
11.1%
F 1
11.1%
e 1
11.1%
E 1
11.1%
z 1
11.1%
o 1
11.1%
n 1
11.1%
b 1
11.1%
C 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2413
66.0%
ASCII 1243
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
596
47.9%
1 113
 
9.1%
2 78
 
6.3%
) 74
 
6.0%
( 74
 
6.0%
3 53
 
4.3%
0 41
 
3.3%
4 35
 
2.8%
5 33
 
2.7%
9 28
 
2.3%
Other values (15) 118
 
9.5%
Hangul
ValueCountFrequency (%)
서 174
 
7.2%
귀 158
 
6.5%
주 128
 
5.3%
제 125
 
5.2%
포 121
 
5.0%
시 121
 
5.0%
치 120
 
5.0%
도 119
 
4.9%
자 118
 
4.9%
별 118
 
4.9%
Other values (143) 1111
46.0%

등록일자
Date

Distinct111
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2007-06-15 00:00:00
Maximum2023-08-29 00:00:00
2023-12-13T06:21:45.508934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:45.673258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Categorical

Distinct6
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
인터넷컴퓨터게임시설제공업
79 
청소년게임제공업
17 
복합유통게임제공업
16 
일반게임제공업
 
3
게임물배급업
 
2

Length

Max length13
Median length13
Mean length11.40678
Min length6

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 79
66.9%
청소년게임제공업 17
 
14.4%
복합유통게임제공업 16
 
13.6%
일반게임제공업 3
 
2.5%
게임물배급업 2
 
1.7%
게임물제작업 1
 
0.8%

Length

2023-12-13T06:21:45.839606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:21:45.993926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 79
66.9%
청소년게임제공업 17
 
14.4%
복합유통게임제공업 16
 
13.6%
일반게임제공업 3
 
2.5%
게임물배급업 2
 
1.7%
게임물제작업 1
 
0.8%

시설면적
Real number (ℝ)

Distinct113
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.01297
Minimum10
Maximum750.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T06:21:46.146125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26.485
Q146.58
median84.215
Q3168.1825
95-th percentile320.5035
Maximum750.5
Range740.5
Interquartile range (IQR)121.6025

Descriptive statistics

Standard deviation116.26344
Coefficient of variation (CV)0.92263073
Kurtosis7.8258007
Mean126.01297
Median Absolute Deviation (MAD)50.765
Skewness2.3151792
Sum14869.53
Variance13517.186
MonotonicityNot monotonic
2023-12-13T06:21:46.346284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186.97 2
 
1.7%
25.0 2
 
1.7%
33.3 2
 
1.7%
55.89 2
 
1.7%
39.6 2
 
1.7%
63.24 1
 
0.8%
260.02 1
 
0.8%
299.27 1
 
0.8%
211.36 1
 
0.8%
312.24 1
 
0.8%
Other values (103) 103
87.3%
ValueCountFrequency (%)
10.0 1
0.8%
22.27 1
0.8%
25.0 2
1.7%
25.2 1
0.8%
26.4 1
0.8%
26.5 1
0.8%
26.6 1
0.8%
26.79 1
0.8%
30.0 1
0.8%
30.03 1
0.8%
ValueCountFrequency (%)
750.5 1
0.8%
556.96 1
0.8%
464.31 1
0.8%
413.1 1
0.8%
368.03 1
0.8%
367.33 1
0.8%
312.24 1
0.8%
299.27 1
0.8%
288.59 1
0.8%
260.02 1
0.8%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct112
Distinct (%)97.4%
Missing3
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean33.277679
Minimum33.214483
Maximum33.460784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T06:21:46.521372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.214483
5-th percentile33.22264
Q133.247383
median33.251037
Q333.297744
95-th percentile33.448003
Maximum33.460784
Range0.24630097
Interquartile range (IQR)0.050360965

Descriptive statistics

Standard deviation0.060798172
Coefficient of variation (CV)0.0018269956
Kurtosis2.9747587
Mean33.277679
Median Absolute Deviation (MAD)0.00647067
Skewness1.9167976
Sum3826.9331
Variance0.0036964177
MonotonicityNot monotonic
2023-12-13T06:21:46.707217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.26141145 2
 
1.7%
33.25523113 2
 
1.7%
33.46029772 2
 
1.7%
33.24803589 1
 
0.8%
33.25150321 1
 
0.8%
33.25214887 1
 
0.8%
33.22090635 1
 
0.8%
33.32433479 1
 
0.8%
33.24721117 1
 
0.8%
33.2212616 1
 
0.8%
Other values (102) 102
86.4%
(Missing) 3
 
2.5%
ValueCountFrequency (%)
33.21448269 1
0.8%
33.22080166 1
0.8%
33.22088142 1
0.8%
33.22090635 1
0.8%
33.2212616 1
0.8%
33.22190181 1
0.8%
33.22295624 1
0.8%
33.22341259 1
0.8%
33.22365427 1
0.8%
33.22574486 1
0.8%
ValueCountFrequency (%)
33.46078366 1
0.8%
33.46029772 2
1.7%
33.45400698 1
0.8%
33.45118489 1
0.8%
33.44985816 1
0.8%
33.44720747 1
0.8%
33.44502678 1
0.8%
33.44433031 1
0.8%
33.39910649 1
0.8%
33.3291231 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct112
Distinct (%)97.4%
Missing3
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean126.58
Minimum126.24937
Maximum126.93143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T06:21:46.873634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.24937
5-th percentile126.25242
Q1126.50848
median126.56217
Q3126.72097
95-th percentile126.91212
Maximum126.93143
Range0.6820655
Interquartile range (IQR)0.21248795

Descriptive statistics

Standard deviation0.19124625
Coefficient of variation (CV)0.0015108725
Kurtosis-0.62209944
Mean126.58
Median Absolute Deviation (MAD)0.0732504
Skewness0.095896725
Sum14556.701
Variance0.036575128
MonotonicityNot monotonic
2023-12-13T06:21:47.019730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5554122 2
 
1.7%
126.572233 2
 
1.7%
126.9294504 2
 
1.7%
126.5627999 1
 
0.8%
126.4260671 1
 
0.8%
126.4250791 1
 
0.8%
126.249369 1
 
0.8%
126.8308536 1
 
0.8%
126.5639937 1
 
0.8%
126.2528373 1
 
0.8%
Other values (102) 102
86.4%
(Missing) 3
 
2.5%
ValueCountFrequency (%)
126.249369 1
0.8%
126.2495196 1
0.8%
126.2496178 1
0.8%
126.2519434 1
0.8%
126.2522024 1
0.8%
126.2523728 1
0.8%
126.2524465 1
0.8%
126.2528373 1
0.8%
126.2573195 1
0.8%
126.2574016 1
0.8%
ValueCountFrequency (%)
126.9314345 1
0.8%
126.9294504 2
1.7%
126.9181667 1
0.8%
126.9140479 1
0.8%
126.9121269 1
0.8%
126.912124 1
0.8%
126.9069982 1
0.8%
126.8864541 1
0.8%
126.8439794 1
0.8%
126.8353867 1
0.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-09-27 00:00:00
Maximum2023-09-27 00:00:00
2023-12-13T06:21:47.148735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:47.236879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:21:43.058837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:42.523946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:42.791170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:43.144663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:42.610590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:42.885635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:43.232317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:42.707999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:21:42.967049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:21:47.313301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종시설면적위도경도
업종1.0000.4620.3020.427
시설면적0.4621.0000.0000.279
위도0.3020.0001.0000.916
경도0.4270.2790.9161.000
2023-12-13T06:21:47.412287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적위도경도업종
시설면적1.000-0.028-0.1740.246
위도-0.0281.0000.7620.208
경도-0.1740.7621.0000.279
업종0.2460.2080.2791.000

Missing values

2023-12-13T06:21:43.384324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:21:43.495910image/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.
2023-12-13T06:21:43.589996image/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

상호명소재지등록일자업종시설면적위도경도데이터기준일자
0오라이PC제주특별자치도 서귀포시 안덕면 서광동로47번길 4 산남건설기계2023-08-29인터넷컴퓨터게임시설제공업63.2433.290516126.3306942023-09-27
1마카오PC제주특별자치도 서귀포시 중앙로59번길 14 엘리트 1층 (서귀동)2023-08-03인터넷컴퓨터게임시설제공업86.7333.249899126.5601512023-09-27
2유피씨제주특별자치도 서귀포시 서호중앙로 55 제주유포리아지식산업센터 E zone b3동 지하3층 108호 (서호동)2023-08-01인터넷컴퓨터게임시설제공업25.033.252549126.5186122023-09-27
3드림PC제주특별자치도 서귀포시 동홍로 42 C동 101호 (동홍동)2023-07-06인터넷컴퓨터게임시설제공업43.033.252342126.5679452023-09-27
4공룡PC제주특별자치도 서귀포시 성산읍 일주동로 4227-12023-07-04인터넷컴퓨터게임시설제공업33.333.451185126.9121272023-09-27
5단지PC제주특별자치도 서귀포시 성산읍 성산중앙로 6 101호2023-06-19인터넷컴퓨터게임시설제공업81.733.460784126.9314342023-09-27
6황금PC랜드제주특별자치도 서귀포시 대정읍 중산간서로 2215-12023-05-09인터넷컴퓨터게임시설제공업60.233.279863126.291152023-09-27
7와우게임PC제주특별자치도 서귀포시 명동로 28 3층 (서귀동)2023-05-09인터넷컴퓨터게임시설제공업147.933.24732126.564842023-09-27
8까망PC제주특별자치도 서귀포시 태평로431번길 28 101호 (서귀동 서귀동 올레 더 화이트)2023-04-11인터넷컴퓨터게임시설제공업90.433.248022126.5662452023-09-27
9오렌지PC제주특별자치도 서귀포시 표선면 표선중앙로 862023-02-17인터넷컴퓨터게임시설제공업33.633.325717126.8331012023-09-27
상호명소재지등록일자업종시설면적위도경도데이터기준일자
108짱구네 인형뽑기제주특별자치도 서귀포시 중앙로42번길 41 1층 (서귀동)2020-03-25청소년게임제공업42.833.249261126.565862023-09-27
109흰둥이네 인형뽑기제주특별자치도 서귀포시 서문로29번길 15 1층 (서귀동)2020-03-20청소년게임제공업33.9733.248898126.5593842023-09-27
110펀스테이션제주특별자치도 서귀포시 이어도로 684 켄싱턴리조트 지하1층 (강정동)2019-06-04청소년게임제공업130.8233.233673126.4889222023-09-27
111인형천국제주특별자치도 서귀포시 표선면 표선중앙로 104 101호2018-10-30청소년게임제공업73.033.325544126.8348542023-09-27
112게임존제주특별자치도 서귀포시 표선면 일주동로 6347-17 대명샤인빌리조트 3층2018-07-19청소년게임제공업154.3333.306012126.7928922023-09-27
113제주수련원 놀멍쉬멍게임존제주특별자치도 서귀포시 표선면 일주동로 6337 지하1층2017-06-09청소년게임제공업160.7533.305624126.7947882023-09-27
114롯데시네마 GAME CENTER제주특별자치도 서귀포시 월드컵로 31 (법환동)2016-10-24청소년게임제공업110.1533.247068126.5073622023-09-27
115번개과학체험관 GAME제주특별자치도 서귀포시 토평공단로 78-27 (토평동)2015-10-29청소년게임제공업51.2133.289519126.5888312023-09-27
116게임존제주특별자치도 서귀포시 남원읍 태위로 522-122015-02-03청소년게임제공업55.8933.273655126.7027552023-09-27
117해비치 게임장제주특별자치도 서귀포시 표선면 민속해안로 5372009-05-22청소년게임제공업556.9633.3226126.8439792023-09-27